Packages & Setup

# install.packages(c("tidyverse","purrr","R.matlab","readxl","dplyr"))
library(readxl);
library(purrr)
library(tidyverse);
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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## ✔ forcats   1.0.0     ✔ stringr   1.5.1
## ✔ ggplot2   3.5.0     ✔ tibble    3.2.1
## ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(tibble);
library(knitr);
library(gtsummary);
## #Uighur
library(kableExtra);
## 
## Attaching package: 'kableExtra'
## 
## The following object is masked from 'package:dplyr':
## 
##     group_rows
library(lme4);
## Loading required package: Matrix
## 
## Attaching package: 'Matrix'
## 
## The following objects are masked from 'package:tidyr':
## 
##     expand, pack, unpack
library(MuMIn);

GTSUMMARY THEME

# my_theme <-
#   list(
#     "tbl_summary-str:default_con_type" = "continuous2",
#     "tbl_summary-str:continuous_stat" = c(
#       "{median} ({p25} - {p75})",
#       "{mean} ({sd})",
#       "{min} - {max}"
#     ),
#     "tbl_summary-str:categorical_stat" = "{n} / {N} ({p}%)",
#     "style_number-arg:big.mark" = "",
#     "tbl_summary-fn:percent_fun" = function(x) style_percent(x, digits = 3)
#   )
# my_theme <-
#   list()
# gtsummary::set_gtsummary_theme(my_theme)
gtsummary::set_gtsummary_theme(theme_gtsummary_journal("jama"))
## Setting theme `JAMA`
## Setting theme `JAMA`
# reset_gtsummary_theme()

load table

# excel_dir <-"M:/jsalminen/GitHub/par_EEGProcessing/src/_data/MIM_dataset/_studies/04162024_MIM_YAOAN89_antsnormalize_iccREMG0p4_powpow0p3_skull0p01/cluster/icrej_5/12/spec_data/group_spec/psd_calcs/fooof_kinematics_table.xlsx";
excel_dir <-"M:/jsalminen/GitHub/par_EEGProcessing/src/_data/MIM_dataset/_studies/04232024_MIM_YAOAN89_antsnorm_dipfix_iccREMG0p4_powpow0p3_skull0p01_15mmrej/cluster/icrej_5/11/spec_data/group_spec/psd_calcs/fooof_kinematics_table_nans.xlsx";
eegt <- read_excel(excel_dir,sheet="Sheet1") 

get unique entries

#%% KIN PARAMS
kin_measures = c('mean_APexc_COV','mean_APexc_mean','mean_MLexc_COV','mean_MLexc_mean','mean_StepDur','mean_StepDur_cov','mean_UDexc_COV','mean_UDexc_mean','mean_StanceDur','mean_GaitCycleDur','mean_PeakUpDownVel_mean');
kin_title_chars = c("AP Exc. COV","AP Exc. Mean","ML Exc. COV","ML Exc. Mean","Step Dur.","Step Dur. COV","UD Exc. COV","UD Exc Mean","Stance Dur.","Gait Cycle Dur.","Peak UD Vel. Mean")
# kin_inds_plot = c(1:length(kin_measures));
kin_inds_plot = c(1,3,6,5,7);
#%% EEG PARAMS
clusters = unique(eegt$cluster_id);
subjects = unique(eegt$subj_char);
groups = unique(eegt$group_char);
# eeg_measures = c('theta_avg_power','alpha_avg_power','beta_avg_power','beta_div_theta','theta_div_beta','log_beta_div_theta','log_theta_div_beta','aperiodic_exp','aperiodic_offset');
# eeg_title_chars = c("**THETA**","**ALPHA**","**BETA**","**BETA/THETA**","**THETA/BETA**","**log10(BETA/THETA)**","**log10(THETA/BETA)**","**AP exp**","**AP offset**");
eeg_measures = c('theta_avg_power','alpha_avg_power','beta_avg_power','theta_div_beta','log_theta_div_beta','aperiodic_exp','aperiodic_offset');
eeg_title_chars = c("**THETA**","**ALPHA**","**BETA**","**THETA/BETA**","**log10(THETA/BETA)**","**AP exp**","**AP offset**");
# eeg_inds_plot = c(1:length(eeg_title_chars));
eeg_inds_plot = c(1,2,3);
cluster_inds_plot = c(10,5,2,6,9);

get speeds only

eegt <- filter_at(eegt,vars('cond_char'), any_vars(. %in% c('0.25','0.5','0.75','1.0')))
flat_speeds = unique(eegt$cond_char)
eegt$cond_char <- as.numeric(eegt$cond_char)
eegt$speed_cond_num <- as.numeric(eegt$cond_char)
eegt <- mutate(eegt,across(c('subj_char'), factor))
eegt <- mutate(eegt,across(c('group_char'), factor))
eegt$speed_ord <- cut(eegt$cond_char, 4, ordered = TRUE)
eegt <- mutate(eegt,across(c('cond_char'), factor))
eegt$group_speed_code = paste(eegt$group_char,eegt$cond_char,sep="_")
head(eegt)

create ratios

Log <- function(x, base = exp(1)) {
  LOG <- base::log(as.complex(x), base = base)
  if (all(Im(LOG) == 0)) { LOG <- Re(LOG) }
  LOG }
#%% CALCS
eegt <- eegt%>%
  mutate(beta_div_theta=beta_avg_power/theta_avg_power)
eegt <- eegt%>%
  mutate(theta_div_beta=theta_avg_power/beta_avg_power)
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10(beta_avg_power/theta_avg_power+max(abs(beta_avg_power/theta_avg_power))))
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10(theta_avg_power/beta_avg_power+max(abs(theta_avg_power/beta_avg_power))))
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10(beta_avg_power/theta_avg_power+mean(abs(beta_avg_power/theta_avg_power))/(mean(abs(beta_avg_power/theta_avg_power))+3*sd(abs(beta_avg_power/theta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10(theta_avg_power/beta_avg_power+mean(abs(theta_avg_power/beta_avg_power))/(mean(abs(theta_avg_power/beta_avg_power))+3*sd(abs(theta_avg_power/beta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10((beta_avg_power/theta_avg_power)+abs(min((beta_avg_power/theta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10((theta_avg_power/beta_avg_power)+abs(min((theta_avg_power/beta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=Re(Log((beta_avg_power/theta_avg_power),10)*Conj(Log((theta_avg_power/beta_avg_power),10))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=Re(Log((theta_avg_power/beta_avg_power),10)*Conj(Log((theta_avg_power/beta_avg_power),10))));
eegt <- eegt%>%
  mutate(log_beta_div_theta=Re(Log((beta_avg_power/theta_avg_power),10)));
eegt <- eegt%>%
  mutate(log_theta_div_beta=Re(Log((theta_avg_power/beta_avg_power),10)));

EEG TESTS: SPEED, GROUP, INTERACTION

LME EEG ~ 1+speed+group+speed:group

Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.78 (0.42 to 1.1) <0.001 <0.001 1.4 (0.45 to 2.3) 0.003 0.013 1.7 (0.89 to 2.5) <0.001 <0.001
speed_cond_num 0.17 (-0.08 to 0.42) 0.19 0.26 -0.18 (-0.53 to 0.17) 0.32 0.64 -0.18 (-0.41 to 0.05) 0.12 0.16
group_char
0.085 0.17
0.70 0.70
0.055 0.11
    H1000’s —

—

—

    H2000’s -0.45 (-1.0 to 0.09)

-0.27 (-1.6 to 1.1)

0.59 (-0.61 to 1.8)

    H3000’s -0.55 (-1.1 to -0.04)

0.31 (-0.95 to 1.6)

1.4 (0.25 to 2.5)

speed_cond_num * group_char
0.32 0.32
0.48 0.64
0.27 0.27
    speed_cond_num * H2000’s 0.28 (-0.10 to 0.65)

0.30 (-0.22 to 0.82)

0.06 (-0.28 to 0.40)

    speed_cond_num * H3000’s 0.07 (-0.28 to 0.42)

0.03 (-0.47 to 0.52)

-0.20 (-0.52 to 0.12)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0719, R2c: 0.8523

alpha_avg_power R2m: 0.0076, R2c: 0.952

beta_avg_power R2m: 0.0754, R2c: 0.9762

## Warning: There was 1 warning in `mutate()`.
## ℹ In argument: `mod = `%>%`(...)`.
## ℹ In row 1.
## Caused by warning:
## ! 'r.squaredGLMM' now calculates a revised statistic. See the help page.
## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.34 (0.07 to 0.60) 0.014 0.028 2.6 (1.6 to 3.7) <0.001 <0.001 2.6 (1.9 to 3.3) <0.001 <0.001
speed_cond_num 0.20 (0.04 to 0.36) 0.012 0.028 -0.16 (-0.63 to 0.31) 0.52 0.69 -0.33 (-0.58 to -0.08) 0.011 0.022
group_char
0.046 0.062
0.83 0.83
0.028 0.038
    H1000’s —

—

—

    H2000’s -0.53 (-0.97 to -0.10)

-0.14 (-1.9 to 1.6)

0.86 (-0.26 to 2.0)

    H3000’s -0.32 (-0.70 to 0.07)

0.37 (-1.2 to 1.9)

1.3 (0.35 to 2.3)

speed_cond_num * group_char
0.43 0.43
0.19 0.37
0.26 0.26
    speed_cond_num * H2000’s 0.14 (-0.11 to 0.40)

-0.48 (-1.2 to 0.28)

-0.25 (-0.66 to 0.16)

    speed_cond_num * H3000’s -0.02 (-0.24 to 0.21)

-0.61 (-1.3 to 0.07)

-0.28 (-0.65 to 0.08)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0786, R2c: 0.8963

alpha_avg_power R2m: 0.0079, R2c: 0.9373

beta_avg_power R2m: 0.0805, R2c: 0.9609

Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.38 (0.15 to 0.61) 0.001 0.004 3.6 (2.7 to 4.6) <0.001 <0.001 2.4 (1.8 to 3.1) <0.001 <0.001
speed_cond_num 0.08 (-0.09 to 0.24) 0.38 0.50 -0.29 (-0.66 to 0.08) 0.12 0.24 -0.18 (-0.39 to 0.03) 0.10 0.10
group_char
0.13 0.26
0.76 0.76
0.024 0.033
    H1000’s —

—

—

    H2000’s -0.28 (-0.64 to 0.07)

-0.46 (-1.9 to 1.0)

0.46 (-0.49 to 1.4)

    H3000’s -0.31 (-0.65 to 0.02)

-0.46 (-1.9 to 0.94)

1.3 (0.35 to 2.2)

speed_cond_num * group_char
0.83 0.83
0.18 0.24
0.008 0.016
    speed_cond_num * H2000’s 0.05 (-0.21 to 0.31)

0.00 (-0.57 to 0.57)

-0.09 (-0.42 to 0.24)

    speed_cond_num * H3000’s -0.03 (-0.28 to 0.22)

-0.46 (-1.0 to 0.08)

-0.48 (-0.79 to -0.16)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.54 (NA to NA)

0.31 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0637, R2c: 0.8253

alpha_avg_power R2m: 0.0199, R2c: 0.9533

beta_avg_power R2m: 0.0647, R2c: 0.9651

Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.44 (0.13 to 0.75) 0.005 0.021 4.0 (3.0 to 4.9) <0.001 <0.001 2.4 (1.9 to 2.9) <0.001 <0.001
speed_cond_num 0.11 (-0.03 to 0.25) 0.12 0.25 -0.04 (-0.42 to 0.33) 0.82 0.93 -0.04 (-0.23 to 0.15) 0.65 0.65
group_char
0.50 0.66
0.93 0.93
0.46 0.61
    H1000’s —

—

—

    H2000’s -0.26 (-0.75 to 0.23)

-0.20 (-1.7 to 1.3)

0.41 (-0.37 to 1.2)

    H3000’s 0.02 (-0.46 to 0.50)

-0.25 (-1.7 to 1.2)

0.41 (-0.35 to 1.2)

speed_cond_num * group_char
0.69 0.69
0.60 0.93
0.12 0.24
    speed_cond_num * H2000’s 0.09 (-0.13 to 0.31)

-0.25 (-0.84 to 0.35)

-0.20 (-0.50 to 0.10)

    speed_cond_num * H3000’s 0.06 (-0.16 to 0.28)

-0.26 (-0.84 to 0.32)

-0.30 (-0.59 to 0.00)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0174, R2c: 0.9358

alpha_avg_power R2m: 0.0062, R2c: 0.9494

beta_avg_power R2m: 0.0109, R2c: 0.9536

Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.88 (0.50 to 1.3) <0.001 <0.001 1.3 (0.70 to 1.9) <0.001 <0.001 0.80 (0.34 to 1.3) <0.001 0.003
speed_cond_num 0.46 (0.25 to 0.67) <0.001 <0.001 -0.07 (-0.47 to 0.33) 0.73 0.73 -0.11 (-0.30 to 0.07) 0.24 0.24
group_char
0.051 0.067
0.35 0.70
0.024 0.048
    H1000’s —

—

—

    H2000’s -0.59 (-1.1 to -0.03)

0.11 (-0.77 to 0.99)

0.72 (0.04 to 1.4)

    H3000’s -0.60 (-1.2 to -0.05)

0.62 (-0.26 to 1.5)

0.88 (0.20 to 1.6)

speed_cond_num * group_char
0.47 0.47
0.69 0.73
0.24 0.24
    speed_cond_num * H2000’s -0.19 (-0.50 to 0.11)

-0.24 (-0.82 to 0.33)

-0.23 (-0.50 to 0.04)

    speed_cond_num * H3000’s -0.09 (-0.39 to 0.22)

-0.18 (-0.75 to 0.40)

-0.16 (-0.43 to 0.11)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1341, R2c: 0.9152

alpha_avg_power R2m: 0.0337, R2c: 0.8614

beta_avg_power R2m: 0.0919, R2c: 0.9544

LME EEG ~ 1+speed+group

Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.72 (0.38 to 1.1) <0.001 <0.001 1.3 (0.41 to 2.2) 0.004 0.012 1.7 (0.93 to 2.5) <0.001 <0.001
speed_cond_num 0.27 (0.12 to 0.42) <0.001 <0.001 -0.08 (-0.29 to 0.13) 0.44 0.65 -0.24 (-0.37 to -0.10) <0.001 <0.001
group_char
0.10 0.10
0.80 0.80
0.087 0.087
    H1000’s —

—

—

    H2000’s -0.28 (-0.77 to 0.21)

-0.08 (-1.4 to 1.2)

0.62 (-0.55 to 1.8)

    H3000’s -0.50 (-0.96 to -0.04)

0.33 (-0.90 to 1.5)

1.2 (0.14 to 2.3)

subj_char.sd__(Intercept) 0.75 (NA to NA)

2.0 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0706, R2c: 0.8519

alpha_avg_power R2m: 0.0073, R2c: 0.9522

beta_avg_power R2m: 0.0751, R2c: 0.9761

Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.32 (0.06 to 0.58) 0.015 0.023 2.8 (1.8 to 3.9) <0.001 <0.001 2.7 (2.1 to 3.4) <0.001 <0.001
speed_cond_num 0.23 (0.13 to 0.33) <0.001 <0.001 -0.50 (-0.79 to -0.20) 0.001 0.002 -0.49 (-0.65 to -0.34) <0.001 <0.001
group_char
0.063 0.063
0.85 0.85
0.060 0.060
    H1000’s —

—

—

    H2000’s -0.44 (-0.85 to -0.04)

-0.44 (-2.1 to 1.2)

0.71 (-0.39 to 1.8)

    H3000’s -0.33 (-0.68 to 0.03)

-0.01 (-1.5 to 1.4)

1.2 (0.20 to 2.1)

subj_char.sd__(Intercept) 0.64 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0781, R2c: 0.8964

alpha_avg_power R2m: 0.0071, R2c: 0.9369

beta_avg_power R2m: 0.0802, R2c: 0.9608

Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.38 (0.17 to 0.59) <0.001 0.001 3.7 (2.8 to 4.7) <0.001 <0.001 2.6 (1.9 to 3.2) <0.001 <0.001
speed_cond_num 0.08 (-0.02 to 0.19) 0.12 0.12 -0.45 (-0.68 to -0.22) <0.001 <0.001 -0.36 (-0.50 to -0.23) <0.001 <0.001
group_char
0.073 0.11
0.55 0.55
0.11 0.11
    H1000’s —

—

—

    H2000’s -0.25 (-0.56 to 0.06)

-0.46 (-1.9 to 0.98)

0.41 (-0.53 to 1.3)

    H3000’s -0.33 (-0.63 to -0.03)

-0.75 (-2.1 to 0.61)

0.96 (0.07 to 1.8)

subj_char.sd__(Intercept) 0.51 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0636, R2c: 0.8266

alpha_avg_power R2m: 0.0193, R2c: 0.9529

beta_avg_power R2m: 0.0634, R2c: 0.9638

Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.41 (0.11 to 0.72) 0.007 0.011 4.1 (3.1 to 5.0) <0.001 <0.001 2.5 (2.0 to 3.0) <0.001 <0.001
speed_cond_num 0.15 (0.06 to 0.24) <0.001 0.003 -0.19 (-0.43 to 0.05) 0.12 0.19 -0.19 (-0.31 to -0.07) 0.003 0.004
group_char
0.57 0.57
0.81 0.81
0.72 0.72
    H1000’s —

—

—

    H2000’s -0.20 (-0.67 to 0.27)

-0.36 (-1.8 to 1.1)

0.29 (-0.47 to 1.0)

    H3000’s 0.06 (-0.40 to 0.51)

-0.42 (-1.8 to 0.98)

0.22 (-0.51 to 0.96)

subj_char.sd__(Intercept) 0.83 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0173, R2c: 0.9362

alpha_avg_power R2m: 0.006, R2c: 0.9496

beta_avg_power R2m: 0.0102, R2c: 0.9531

Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.94 (0.57 to 1.3) <0.001 <0.001 1.4 (0.82 to 2.0) <0.001 <0.001 0.88 (0.42 to 1.3) <0.001 <0.001
speed_cond_num 0.37 (0.24 to 0.49) <0.001 <0.001 -0.20 (-0.44 to 0.03) 0.090 0.13 -0.24 (-0.35 to -0.12) <0.001 <0.001
group_char
0.012 0.012
0.34 0.34
0.052 0.052
    H1000’s —

—

—

    H2000’s -0.71 (-1.2 to -0.18)

-0.04 (-0.85 to 0.76)

0.58 (-0.08 to 1.2)

    H3000’s -0.66 (-1.2 to -0.13)

0.51 (-0.30 to 1.3)

0.78 (0.12 to 1.4)

subj_char.sd__(Intercept) 0.83 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1337, R2c: 0.9153

alpha_avg_power R2m: 0.0333, R2c: 0.8622

beta_avg_power R2m: 0.0913, R2c: 0.9542

KINEMATIC TESTS: SPEED, KIN, INTERACTION

a) LME speed ~ 1+kin

Cluster: 12
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.78 (0.66 to 0.89) <0.001 <0.001 0.33 (0.23 to 0.43) <0.001 <0.001 1.0 (0.97 to 1.1) <0.001 <0.001 1.3 (1.2 to 1.4) <0.001 <0.001 1.2 (1.2 to 1.3) <0.001 <0.001
mean_APexc_COV -0.01 (-0.01 to 0.00) 0.006 0.006











subj_char.sd__(Intercept) 0.00 (NA to NA)

0.00 (NA to NA)

0.00 (NA to NA)

0.07 (NA to NA)

0.06 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.26 (NA to NA)

0.21 (NA to NA)

0.17 (NA to NA)

0.15 (NA to NA)

mean_MLexc_COV


0.02 (0.01 to 0.03) <0.001 <0.001








mean_StepDur_cov





-0.08 (-0.09 to -0.07) <0.001 <0.001





mean_StepDur








-0.84 (-0.92 to -0.75) <0.001 <0.001


mean_UDexc_COV











-0.04 (-0.05 to -0.04) <0.001 <0.001
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.0302, R2c: 0.0302

mean_MLexc_COV R2m: 0.14, R2c: 0.14

mean_StepDur_cov R2m: 0.4293, R2c: 0.4293

mean_StepDur R2m: 0.6117, R2c: 0.6662

mean_UDexc_COV R2m: 0.6844, R2c: 0.7317

Cluster: 7
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.77 (0.67 to 0.88) <0.001 <0.001 0.31 (0.21 to 0.40) <0.001 <0.001 1.0 (0.97 to 1.1) <0.001 <0.001 1.3 (1.3 to 1.4) <0.001 <0.001 1.2 (1.2 to 1.3) <0.001 <0.001
mean_APexc_COV -0.01 (-0.01 to 0.00) 0.004 0.004











subj_char.sd__(Intercept) 0.00 (NA to NA)

0.00 (NA to NA)

0.00 (NA to NA)

0.07 (NA to NA)

0.09 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.26 (NA to NA)

0.21 (NA to NA)

0.16 (NA to NA)

0.15 (NA to NA)

mean_MLexc_COV


0.02 (0.02 to 0.03) <0.001 <0.001








mean_StepDur_cov





-0.08 (-0.09 to -0.07) <0.001 <0.001





mean_StepDur








-0.88 (-0.95 to -0.80) <0.001 <0.001


mean_UDexc_COV











-0.05 (-0.05 to -0.04) <0.001 <0.001
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.0307, R2c: 0.0307

mean_MLexc_COV R2m: 0.1467, R2c: 0.1467

mean_StepDur_cov R2m: 0.4409, R2c: 0.4409

mean_StepDur R2m: 0.6387, R2c: 0.6985

mean_UDexc_COV R2m: 0.6773, R2c: 0.7618

Cluster: 4
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.76 (0.66 to 0.87) <0.001 <0.001 0.36 (0.26 to 0.45) <0.001 <0.001 1.0 (0.97 to 1.1) <0.001 <0.001 1.3 (1.2 to 1.4) <0.001 <0.001 1.2 (1.2 to 1.3) <0.001 <0.001
mean_APexc_COV -0.01 (-0.01 to 0.00) 0.008 0.008











subj_char.sd__(Intercept) 0.00 (NA to NA)

0.00 (NA to NA)

0.00 (NA to NA)

0.07 (NA to NA)

0.08 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.26 (NA to NA)

0.21 (NA to NA)

0.17 (NA to NA)

0.16 (NA to NA)

mean_MLexc_COV


0.02 (0.01 to 0.03) <0.001 <0.001








mean_StepDur_cov





-0.08 (-0.09 to -0.07) <0.001 <0.001





mean_StepDur








-0.84 (-0.92 to -0.76) <0.001 <0.001


mean_UDexc_COV











-0.04 (-0.05 to -0.04) <0.001 <0.001
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.0254, R2c: 0.0254

mean_MLexc_COV R2m: 0.112, R2c: 0.112

mean_StepDur_cov R2m: 0.4205, R2c: 0.4205

mean_StepDur R2m: 0.6054, R2c: 0.6609

mean_UDexc_COV R2m: 0.6615, R2c: 0.7313

Cluster: 8
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.80 (0.70 to 0.91) <0.001 <0.001 0.35 (0.26 to 0.44) <0.001 <0.001 1.0 (0.94 to 1.1) <0.001 <0.001 1.3 (1.2 to 1.4) <0.001 <0.001 1.2 (1.2 to 1.3) <0.001 <0.001
mean_APexc_COV -0.01 (-0.01 to 0.00) <0.001 <0.001











subj_char.sd__(Intercept) 0.00 (NA to NA)

0.00 (NA to NA)

0.00 (NA to NA)

0.07 (NA to NA)

0.08 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.26 (NA to NA)

0.22 (NA to NA)

0.17 (NA to NA)

0.14 (NA to NA)

mean_MLexc_COV


0.02 (0.01 to 0.02) <0.001 <0.001








mean_StepDur_cov





-0.07 (-0.08 to -0.06) <0.001 <0.001





mean_StepDur








-0.84 (-0.91 to -0.76) <0.001 <0.001


mean_UDexc_COV











-0.05 (-0.05 to -0.04) <0.001 <0.001
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.043, R2c: 0.043

mean_MLexc_COV R2m: 0.1205, R2c: 0.1205

mean_StepDur_cov R2m: 0.4078, R2c: 0.4078

mean_StepDur R2m: 0.6185, R2c: 0.6719

mean_UDexc_COV R2m: 0.702, R2c: 0.7707

Cluster: 11
Characteristic AP Exc. COV ML Exc. COV Step Dur. COV Step Dur. UD Exc. COV
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.78 (0.67 to 0.89) <0.001 <0.001 0.27 (0.17 to 0.38) <0.001 <0.001 1.1 (1.0 to 1.2) <0.001 <0.001 1.3 (1.2 to 1.4) <0.001 <0.001 1.3 (1.2 to 1.3) <0.001 <0.001
mean_APexc_COV -0.01 (-0.01 to 0.00) 0.003 0.003











subj_char.sd__(Intercept) 0.00 (NA to NA)

0.00 (NA to NA)

0.00 (NA to NA)

0.08 (NA to NA)

0.09 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.26 (NA to NA)

0.21 (NA to NA)

0.18 (NA to NA)

0.13 (NA to NA)

mean_MLexc_COV


0.02 (0.02 to 0.03) <0.001 <0.001








mean_StepDur_cov





-0.09 (-0.10 to -0.08) <0.001 <0.001





mean_StepDur








-0.86 (-0.95 to -0.76) <0.001 <0.001


mean_UDexc_COV











-0.05 (-0.05 to -0.05) <0.001 <0.001
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.0367, R2c: 0.0367

mean_MLexc_COV R2m: 0.1658, R2c: 0.1658

mean_StepDur_cov R2m: 0.4563, R2c: 0.4563

mean_StepDur R2m: 0.5688, R2c: 0.6339

mean_UDexc_COV R2m: 0.7229, R2c: 0.8081

EEG TESTS: KINEMATIC, SPEED, INTERACTION

MEDIATION) LME EEG ~ 1+kin+speed+kin:speed

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.38 (-0.04 to 0.80) 0.077 0.15 1.2 (0.46 to 1.9) 0.001 0.005 2.2 (1.6 to 2.8) <0.001 <0.001
speed_cond_num 0.45 (-0.03 to 0.94) 0.067 0.15 0.12 (-0.56 to 0.80) 0.72 0.72 -0.12 (-0.56 to 0.33) 0.61 0.65
mean_APexc_COV 0.00 (-0.01 to 0.02) 0.65 0.65 0.01 (-0.01 to 0.03) 0.45 0.72 0.01 (-0.01 to 0.02) 0.29 0.59
speed_cond_num * mean_APexc_COV -0.01 (-0.03 to 0.01) 0.43 0.57 -0.01 (-0.04 to 0.02) 0.57 0.72 0.00 (-0.02 to 0.02) 0.65 0.65
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.8466

alpha_avg_power R2m: 3e-04, R2c: 0.9501

beta_avg_power R2m: 0.0016, R2c: 0.9751

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.25 (-0.15 to 0.66) 0.22 0.26 0.77 (0.06 to 1.5) 0.033 0.065 2.3 (1.7 to 2.9) <0.001 <0.001
speed_cond_num 0.61 (0.07 to 1.1) 0.027 0.11 0.54 (-0.20 to 1.3) 0.15 0.20 -0.41 (-0.90 to 0.08) 0.10 0.21
mean_APexc_mean 3.9 (-2.0 to 9.8) 0.20 0.26 10 (2.2 to 19) 0.012 0.050 -0.16 (-5.6 to 5.2) 0.95 0.95
speed_cond_num * mean_APexc_mean -7.1 (-20 to 5.3) 0.26 0.26 -9.7 (-27 to 7.6) 0.27 0.27 5.7 (-5.7 to 17) 0.33 0.44
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.45 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0095, R2c: 0.8474

alpha_avg_power R2m: 0.0024, R2c: 0.9516

beta_avg_power R2m: 0.0016, R2c: 0.9755

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.27 (-0.11 to 0.64) 0.16 0.21 1.1 (0.45 to 1.8) 0.001 0.004 2.4 (1.8 to 2.9) <0.001 <0.001
speed_cond_num 0.63 (0.12 to 1.2) 0.016 0.065 0.32 (-0.40 to 1.1) 0.38 0.38 -0.30 (-0.77 to 0.18) 0.22 0.44
mean_MLexc_COV 0.01 (-0.01 to 0.04) 0.27 0.27 0.02 (-0.01 to 0.05) 0.23 0.31 0.00 (-0.02 to 0.02) 0.80 0.80
speed_cond_num * mean_MLexc_COV -0.02 (-0.06 to 0.01) 0.15 0.21 -0.03 (-0.07 to 0.02) 0.22 0.31 0.00 (-0.03 to 0.03) 0.78 0.80
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0098, R2c: 0.8479

alpha_avg_power R2m: 5e-04, R2c: 0.9502

beta_avg_power R2m: 0.0012, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.79 (0.32 to 1.3) <0.001 0.004 1.2 (0.43 to 2.0) 0.003 0.010 2.3 (1.7 to 2.9) <0.001 <0.001
speed_cond_num 0.18 (-0.26 to 0.62) 0.42 0.45 0.26 (-0.36 to 0.88) 0.41 0.41 -0.18 (-0.58 to 0.23) 0.39 0.77
mean_MLexc_mean -1.9 (-5.1 to 1.3) 0.24 0.45 2.0 (-2.5 to 6.5) 0.39 0.41 0.39 (-2.6 to 3.3) 0.80 0.83
speed_cond_num * mean_MLexc_mean -2.5 (-9.1 to 4.1) 0.45 0.45 -5.0 (-15 to 4.5) 0.31 0.41 -0.70 (-7.0 to 5.6) 0.83 0.83
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0166, R2c: 0.8516

alpha_avg_power R2m: 5e-04, R2c: 0.9507

beta_avg_power R2m: 0.0012, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.41 (-0.07 to 0.89) 0.10 0.38 1.2 (0.34 to 2.0) 0.005 0.021 2.5 (1.9 to 3.1) <0.001 <0.001
speed_cond_num 0.38 (-0.48 to 1.2) 0.39 0.78 0.72 (-0.51 to 2.0) 0.25 0.31 -0.31 (-1.1 to 0.50) 0.45 0.71
mean_StepDur 0.06 (-0.31 to 0.43) 0.75 0.86 0.39 (-0.12 to 0.91) 0.13 0.27 -0.11 (-0.44 to 0.23) 0.53 0.71
speed_cond_num * mean_StepDur -0.16 (-1.9 to 1.6) 0.86 0.86 -1.3 (-3.9 to 1.3) 0.31 0.31 -0.01 (-1.7 to 1.7)
0.99
0.99
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.847

alpha_avg_power R2m: 8e-04, R2c: 0.9507

beta_avg_power R2m: 0.0013, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.47 (0.11 to 0.83) 0.011 0.044 1.3 (0.63 to 2.0) <0.001 <0.001 2.4 (1.9 to 3.0) <0.001 <0.001
speed_cond_num 0.08 (-0.36 to 0.52) 0.72 0.72 -0.05 (-0.67 to 0.57) 0.87 0.89 -0.22 (-0.62 to 0.19) 0.29 0.58
mean_StepDur_cov -0.01 (-0.05 to 0.03) 0.60 0.72 0.01 (-0.05 to 0.07) 0.75 0.89 0.00 (-0.04 to 0.03) 0.86 0.86
speed_cond_num * mean_StepDur_cov 0.06 (-0.04 to 0.15) 0.26 0.51 0.01 (-0.13 to 0.15) 0.89 0.89 -0.02 (-0.10 to 0.07) 0.72 0.86
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0098, R2c: 0.8473

alpha_avg_power R2m: 3e-04, R2c: 0.9503

beta_avg_power R2m: 0.0013, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.57 (0.10 to 1.0) 0.017 0.069 1.4 (0.66 to 2.2) <0.001 0.001 2.4 (1.8 to 3.0) <0.001 <0.001
speed_cond_num 0.18 (-0.28 to 0.63) 0.45 0.81 0.22 (-0.41 to 0.86) 0.49 0.64 0.02 (-0.39 to 0.43) 0.92 0.92
mean_UDexc_COV -0.01 (-0.03 to 0.01) 0.60 0.81 0.01 (-0.02 to 0.04) 0.64 0.64 0.01 (-0.01 to 0.02) 0.48 0.65
speed_cond_num * mean_UDexc_COV 0.00 (-0.04 to 0.04) 0.90 0.90 -0.05 (-0.11 to 0.01) 0.11 0.21 -0.04 (-0.07 to 0.00) 0.056 0.11
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0085, R2c: 0.8473

alpha_avg_power R2m: 0.0012, R2c: 0.9504

beta_avg_power R2m: 0.0019, R2c: 0.9756

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.24 (-0.16 to 0.65) 0.24 0.27 1.2 (0.53 to 2.0) <0.001 0.002 2.4 (1.9 to 3.0) <0.001 <0.001
speed_cond_num 0.45 (-0.09 to 0.98) 0.11 0.27 -0.48 (-1.2 to 0.28) 0.21 0.41 -0.38 (-0.87 to 0.12) 0.14 0.27
mean_UDexc_mean 13 (-10 to 37) 0.27 0.27 18 (-16 to 52) 0.31 0.41 -4.3 (-27 to 18) 0.71 0.71
speed_cond_num * mean_UDexc_mean -13 (-34 to 8.0) 0.23 0.27 -2.0 (-31 to 27) 0.89 0.89 6.1 (-13 to 25) 0.53 0.71
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0096, R2c: 0.8497

alpha_avg_power R2m: 0.0017, R2c: 0.9503

beta_avg_power R2m: 0.0013, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.42 (-0.03 to 0.87) 0.068 0.27 1.2 (0.38 to 1.9) 0.003 0.014 2.5 (1.8 to 3.1) <0.001 <0.001
speed_cond_num 0.33 (-0.42 to 1.1) 0.38 0.77 0.62 (-0.46 to 1.7) 0.26 0.35 -0.22 (-0.94 to 0.49) 0.54 0.84
mean_StanceDur 0.03 (-0.21 to 0.27) 0.80 0.93 0.28 (-0.05 to 0.62) 0.10 0.20 -0.03 (-0.25 to 0.19) 0.77 0.84
speed_cond_num * mean_StanceDur -0.06 (-1.3 to 1.2) 0.93 0.93 -0.87 (-2.8 to 1.0) 0.37 0.37 -0.13 (-1.4 to 1.1) 0.84 0.84
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.8468

alpha_avg_power R2m: 8e-04, R2c: 0.9508

beta_avg_power R2m: 0.0013, R2c: 0.9751

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.41 (-0.08 to 0.89) 0.10 0.39 1.2 (0.34 to 2.0) 0.005 0.021 2.5 (1.9 to 3.1) <0.001 <0.001
speed_cond_num 0.37 (-0.49 to 1.2) 0.40 0.80 0.72 (-0.52 to 2.0) 0.25 0.32 -0.31 (-1.1 to 0.51) 0.46 0.71
mean_GaitCycleDur 0.03 (-0.16 to 0.21) 0.75 0.88 0.20 (-0.06 to 0.45) 0.13 0.27 -0.05 (-0.22 to 0.11) 0.53 0.71
speed_cond_num * mean_GaitCycleDur -0.07 (-0.94 to 0.81) 0.88 0.88 -0.66 (-2.0 to 0.63) 0.32 0.32 -0.01 (-0.87 to 0.85) 0.99 0.99
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.8469

alpha_avg_power R2m: 8e-04, R2c: 0.9507

beta_avg_power R2m: 0.0013, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.35 (0.02 to 0.67) 0.037 0.15 1.5 (0.88 to 2.1) <0.001 <0.001 2.3 (1.8 to 2.8) <0.001 <0.001
speed_cond_num 0.31 (-0.26 to 0.89) 0.28 0.46 -0.60 (-1.4 to 0.21) 0.15 0.30 -0.46 (-1.0 to 0.08) 0.093 0.19
mean_PeakUpDownVel_mean 0.90 (-1.5 to 3.3) 0.46 0.46 0.09 (-3.4 to 3.5) 0.96 0.96 0.81 (-1.5 to 3.1) 0.48 0.65
speed_cond_num * mean_PeakUpDownVel_mean -0.78 (-2.5 to 0.96) 0.38 0.46 0.97 (-1.5 to 3.4) 0.44 0.58 -0.18 (-1.8 to 1.4) 0.83 0.83
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0089, R2c: 0.8485

alpha_avg_power R2m: 8e-04, R2c: 0.9506

beta_avg_power R2m: 0.0015, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) -0.05 (-0.34 to 0.24) 0.75 0.75 2.0 (1.0 to 3.0) <0.001 <0.001 3.2 (2.6 to 3.8) <0.001 <0.001
speed_cond_num 0.17 (-0.13 to 0.48) 0.26 0.57 0.36 (-0.56 to 1.3) 0.44 0.44 -0.30 (-0.80 to 0.20) 0.24 0.47
mean_APexc_COV 0.01 (0.00 to 0.02) 0.28 0.57 0.03 (0.00 to 0.07) 0.043 0.085 0.01 (-0.01 to 0.02) 0.52 0.52
speed_cond_num * mean_APexc_COV 0.00 (-0.01 to 0.02) 0.54 0.72 -0.04 (-0.08 to 0.00) 0.068 0.090 -0.01 (-0.03 to 0.01) 0.43 0.52
subj_char.sd__(Intercept) 0.67 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.68 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0146, R2c: 0.8991

alpha_avg_power R2m: 0.0042, R2c: 0.936

beta_avg_power R2m: 0.0057, R2c: 0.9596

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) -0.07 (-0.36 to 0.22) 0.64 0.64 2.3 (1.3 to 3.2) <0.001 <0.001 3.4 (2.8 to 3.9) <0.001 <0.001
speed_cond_num 0.53 (0.17 to 0.89) 0.004 0.017 0.35 (-0.75 to 1.4) 0.53 0.53 -0.36 (-0.95 to 0.23) 0.24 0.47
mean_APexc_mean 3.2 (-0.82 to 7.3) 0.12 0.17 9.2 (-3.1 to 21) 0.14 0.21 0.32 (-6.3 to 7.0) 0.93 0.93
speed_cond_num * mean_APexc_mean -6.6 (-15 to 1.9) 0.13 0.17 -19 (-45 to 7.3) 0.16 0.21 -4.4 (-18 to 9.6) 0.54 0.72
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0097, R2c: 0.894

alpha_avg_power R2m: 0.0033, R2c: 0.935

beta_avg_power R2m: 0.0059, R2c: 0.9592

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) -0.02 (-0.29 to 0.25) 0.86 0.86 2.3 (1.4 to 3.3) <0.001 <0.001 3.4 (2.8 to 4.0) <0.001 <0.001
speed_cond_num 0.11 (-0.23 to 0.45) 0.52 0.86 -0.47 (-1.5 to 0.57) 0.38 0.50 -0.63 (-1.2 to -0.06) 0.030 0.059
mean_MLexc_COV 0.01 (0.00 to 0.03) 0.15 0.62 0.04 (-0.01 to 0.09) 0.16 0.32 0.00 (-0.03 to 0.02) 0.85 0.85
speed_cond_num * mean_MLexc_COV 0.00 (-0.02 to 0.02) 0.85 0.86 -0.01 (-0.08 to 0.05) 0.69 0.69 0.01 (-0.03 to 0.05) 0.66 0.85
subj_char.sd__(Intercept) 0.65 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.68 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0154, R2c: 0.8964

alpha_avg_power R2m: 0.0045, R2c: 0.9366

beta_avg_power R2m: 0.0057, R2c: 0.9595

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.23 (-0.12 to 0.57) 0.20 0.26 2.1 (0.97 to 3.2) <0.001 0.001 3.1 (2.4 to 3.8) <0.001 <0.001
speed_cond_num 0.34 (0.03 to 0.64) 0.031 0.12 0.46 (-0.47 to 1.4) 0.33 0.33 -0.22 (-0.72 to 0.28) 0.39 0.50
mean_MLexc_mean -0.28 (-2.6 to 2.0) 0.81 0.81 6.6 (-0.46 to 14) 0.067 0.13 2.2 (-1.7 to 6.0) 0.27 0.50
speed_cond_num * mean_MLexc_mean -3.9 (-8.3 to 0.58) 0.089 0.18 -11 (-25 to 2.2) 0.10 0.14 -2.6 (-10 to 4.8) 0.50 0.50
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.68 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0144, R2c: 0.8972

alpha_avg_power R2m: 0.0038, R2c: 0.9358

beta_avg_power R2m: 0.0059, R2c: 0.9597

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.22 (-0.13 to 0.57) 0.21 0.22 2.5 (1.4 to 3.7) <0.001 <0.001 3.3 (2.7 to 4.0) <0.001 <0.001
speed_cond_num 0.96 (0.40 to 1.5) <0.001 0.003 0.63 (-1.1 to 2.4) 0.48 0.48 -0.38 (-1.3 to 0.58) 0.43 0.87
mean_StepDur 0.15 (-0.09 to 0.39) 0.22 0.22 0.47 (-0.27 to 1.2) 0.21 0.39 0.03 (-0.37 to 0.44) 0.88 0.88
speed_cond_num * mean_StepDur -1.6 (-2.8 to -0.43) 0.008 0.015 -2.0 (-5.8 to 1.7) 0.29 0.39 -0.23 (-2.3 to 1.8) 0.83 0.88
subj_char.sd__(Intercept) 0.67 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0208, R2c: 0.9019

alpha_avg_power R2m: 0.0035, R2c: 0.9351

beta_avg_power R2m: 0.0057, R2c: 0.9593

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.00 (-0.26 to 0.25) 0.98 0.98 2.6 (1.7 to 3.5) <0.001 <0.001 3.5 (2.9 to 4.0) <0.001 <0.001
speed_cond_num 0.38 (0.10 to 0.67) 0.009 0.035 -0.18 (-1.0 to 0.69) 0.69 0.69 -0.58 (-1.0 to -0.11) 0.015 0.031
mean_StepDur_cov 0.02 (-0.01 to 0.04) 0.26 0.49 0.03 (-0.05 to 0.11) 0.48 0.65 -0.02 (-0.06 to 0.03) 0.49 0.65
speed_cond_num * mean_StepDur_cov -0.03 (-0.09 to 0.03) 0.37 0.49 -0.07 (-0.26 to 0.13) 0.49 0.65 0.00 (-0.11 to 0.10) 0.94 0.94
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.009, R2c: 0.8934

alpha_avg_power R2m: 0.0028, R2c: 0.9348

beta_avg_power R2m: 0.0059, R2c: 0.9592

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) -0.15 (-0.48 to 0.18) 0.37 0.42 2.9 (1.8 to 4.0) <0.001 <0.001 3.4 (2.8 to 4.0) <0.001 <0.001
speed_cond_num 0.47 (0.17 to 0.77) 0.002 0.008 -0.07 (-0.97 to 0.83) 0.89 0.89 -0.35 (-0.83 to 0.14) 0.16 0.29
mean_UDexc_COV 0.01 (0.00 to 0.03) 0.074 0.15 0.01 (-0.03 to 0.05) 0.73 0.89 0.00 (-0.02 to 0.02) 0.85 0.85
speed_cond_num * mean_UDexc_COV -0.01 (-0.04 to 0.02) 0.42 0.42 -0.07 (-0.15 to 0.00) 0.063 0.13 -0.03 (-0.07 to 0.02) 0.22 0.29
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0102, R2c: 0.8944

alpha_avg_power R2m: 0.0047, R2c: 0.9343

beta_avg_power R2m: 0.0062, R2c: 0.9596

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.19 (-0.09 to 0.48) 0.18 0.40 2.9 (2.0 to 3.9) <0.001 <0.001 3.9 (3.3 to 4.5) <0.001 <0.001
speed_cond_num 0.17 (-0.19 to 0.52) 0.36 0.40 -1.4 (-2.4 to -0.29) 0.012 0.025 -0.64 (-1.2 to -0.08) 0.025 0.025
mean_UDexc_mean -6.9 (-23 to 9.0) 0.40 0.40 -0.14 (-48 to 48)
0.99
0.99
-41 (-66 to -15) 0.002 0.004
speed_cond_num * mean_UDexc_mean 5.9 (-8.0 to 20) 0.40 0.40 21 (-21 to 63) 0.33 0.44 30 (7.5 to 52) 0.009 0.011
subj_char.sd__(Intercept) 0.65 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.36 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.009, R2c: 0.8923

alpha_avg_power R2m: 0.0038, R2c: 0.9351

beta_avg_power R2m: 0.0092, R2c: 0.9621

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.23 (-0.10 to 0.55) 0.17 0.17 2.5 (1.4 to 3.6) <0.001 <0.001 3.3 (2.7 to 4.0) <0.001 <0.001
speed_cond_num 0.85 (0.36 to 1.3) <0.001 0.003 0.53 (-0.98 to 2.0) 0.50 0.50 -0.33 (-1.1 to 0.50) 0.44 0.75
mean_StanceDur 0.13 (-0.03 to 0.28) 0.10 0.14 0.37 (-0.10 to 0.85) 0.12 0.25 0.06 (-0.20 to 0.31) 0.67 0.75
speed_cond_num * mean_StanceDur -1.1 (-2.0 to -0.28) 0.009 0.018 -1.4 (-4.1 to 1.3) 0.31 0.42 -0.24 (-1.7 to 1.2) 0.75 0.75
subj_char.sd__(Intercept) 0.67 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.019, R2c: 0.9009

alpha_avg_power R2m: 0.0035, R2c: 0.9353

beta_avg_power R2m: 0.0057, R2c: 0.9593

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.23 (-0.12 to 0.58) 0.20 0.22 2.5 (1.4 to 3.7) <0.001 <0.001 3.3 (2.7 to 4.0) <0.001 <0.001
speed_cond_num 0.97 (0.41 to 1.5) <0.001 0.003 0.62 (-1.1 to 2.4) 0.49 0.49 -0.39 (-1.4 to 0.57) 0.42 0.85
mean_GaitCycleDur 0.08 (-0.05 to 0.20) 0.22 0.22 0.24 (-0.14 to 0.61) 0.21 0.40 0.01 (-0.19 to 0.22) 0.89 0.89
speed_cond_num * mean_GaitCycleDur -0.82 (-1.4 to -0.23) 0.007 0.014 -0.99 (-2.9 to 0.88) 0.30 0.40 -0.10 (-1.1 to 0.92) 0.84 0.89
subj_char.sd__(Intercept) 0.67 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0213, R2c: 0.9021

alpha_avg_power R2m: 0.0035, R2c: 0.9351

beta_avg_power R2m: 0.0056, R2c: 0.9593

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.13 (-0.11 to 0.36) 0.29 0.91 3.2 (2.4 to 4.0) <0.001 <0.001 3.6 (3.1 to 4.1) <0.001 <0.001
speed_cond_num 0.04 (-0.32 to 0.41) 0.82 0.91 -1.2 (-2.4 to -0.13) 0.029 0.058 -0.22 (-0.82 to 0.38) 0.47 0.47
mean_PeakUpDownVel_mean 0.09 (-1.5 to 1.7) 0.91 0.91 -2.5 (-7.3 to 2.3) 0.31 0.31 -2.9 (-5.5 to -0.32) 0.028 0.056
speed_cond_num * mean_PeakUpDownVel_mean 0.31 (-0.85 to 1.5) 0.60 0.91 3.4 (-0.08 to 6.9) 0.055 0.074 1.7 (-0.21 to 3.5) 0.081 0.11
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.68 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0092, R2c: 0.8945

alpha_avg_power R2m: 0.0038, R2c: 0.9358

beta_avg_power R2m: 0.0081, R2c: 0.9608

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.08 (-0.21 to 0.38) 0.58 0.58 2.9 (2.1 to 3.8) <0.001 <0.001 2.8 (2.3 to 3.3) <0.001 <0.001
speed_cond_num 0.19 (-0.15 to 0.52) 0.27 0.58 0.08 (-0.66 to 0.82) 0.83 0.83 0.08 (-0.34 to 0.51) 0.70 0.70
mean_APexc_COV 0.01 (-0.01 to 0.02) 0.39 0.58 0.02 (-0.01 to 0.04) 0.17 0.23 0.01 (-0.01 to 0.02) 0.29 0.38
speed_cond_num * mean_APexc_COV 0.00 (-0.02 to 0.01) 0.56 0.58 -0.02 (-0.06 to 0.01) 0.15 0.23 -0.02 (-0.04 to 0.00) 0.024 0.047
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.54 (NA to NA)

0.31 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0026, R2c: 0.8232

alpha_avg_power R2m: 0.0031, R2c: 0.9518

beta_avg_power R2m: 0.0051, R2c: 0.9639

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.06 (-0.21 to 0.33) 0.67 0.79 2.6 (1.8 to 3.4) <0.001 <0.001 2.9 (2.5 to 3.4) <0.001 <0.001
speed_cond_num 0.05 (-0.32 to 0.42) 0.79 0.79 0.00 (-0.82 to 0.81)
0.99
0.99
-0.72 (-1.2 to -0.25) 0.003 0.006
mean_APexc_mean 1.6 (-2.5 to 5.8) 0.43 0.79 11 (2.3 to 20) 0.014 0.028 -0.92 (-6.2 to 4.4) 0.73 0.73
speed_cond_num * mean_APexc_mean 2.9 (-6.0 to 12) 0.52 0.79 -2.7 (-22 to 17) 0.79
0.99
12 (-0.06 to 23) 0.051 0.068
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.53 (NA to NA)

0.31 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0067, R2c: 0.8229

alpha_avg_power R2m: 0.006, R2c: 0.9537

beta_avg_power R2m: 0.0055, R2c: 0.9645

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) -0.03 (-0.29 to 0.22) 0.80 0.80 3.1 (2.4 to 3.9) <0.001 <0.001 2.8 (2.3 to 3.3) <0.001 <0.001
speed_cond_num 0.25 (-0.12 to 0.62) 0.19 0.28 -0.75 (-1.6 to 0.08) 0.077 0.15 -0.27 (-0.76 to 0.21) 0.27 0.36
mean_MLexc_COV 0.02 (0.00 to 0.04) 0.022 0.087 0.02 (-0.02 to 0.06) 0.29 0.39 0.02 (-0.01 to 0.04) 0.15 0.31
speed_cond_num * mean_MLexc_COV -0.02 (-0.04 to 0.01) 0.21 0.28 0.01 (-0.04 to 0.06) 0.70 0.70 -0.01 (-0.04 to 0.02) 0.53 0.53
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.31 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.009, R2c: 0.8267

alpha_avg_power R2m: 0.0048, R2c: 0.9535

beta_avg_power R2m: 0.0046, R2c: 0.9633

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.30 (-0.03 to 0.63) 0.075 0.30 3.0 (2.1 to 3.9) <0.001 <0.001 3.1 (2.5 to 3.7) <0.001 <0.001
speed_cond_num -0.04 (-0.36 to 0.28) 0.81 0.81 0.25 (-0.46 to 0.95) 0.50 0.50 -0.47 (-0.89 to -0.05) 0.027 0.054
mean_MLexc_mean -0.96 (-3.3 to 1.4) 0.43 0.81 4.3 (-1.0 to 9.7) 0.11 0.15 -0.88 (-4.0 to 2.3) 0.58 0.76
speed_cond_num * mean_MLexc_mean 1.2 (-3.5 to 5.9) 0.62 0.81 -9.6 (-20 to 0.98) 0.075 0.15 0.96 (-5.3 to 7.2) 0.76 0.76
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0021, R2c: 0.8226

alpha_avg_power R2m: 0.0034, R2c: 0.952

beta_avg_power R2m: 0.0039, R2c: 0.9625

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) -0.06 (-0.38 to 0.27) 0.73 0.93 2.3 (1.4 to 3.2) <0.001 <0.001 2.9 (2.4 to 3.5) <0.001 <0.001
speed_cond_num -0.38 (-0.95 to 0.19) 0.19 0.37 -1.1 (-2.4 to 0.19) 0.094 0.12 -1.4 (-2.2 to -0.69) <0.001 <0.001
mean_StepDur 0.01 (-0.24 to 0.27) 0.93 0.93 0.44 (-0.12 to 0.99) 0.12 0.12 -0.30 (-0.62 to 0.02) 0.070 0.070
speed_cond_num * mean_StepDur 1.2 (0.07 to 2.4) 0.038 0.15 2.5 (-0.17 to 5.2) 0.066 0.12 2.2 (0.64 to 3.8) 0.006 0.008
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.53 (NA to NA)

0.31 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0203, R2c: 0.8259

alpha_avg_power R2m: 0.0112, R2c: 0.9543

beta_avg_power R2m: 0.0078, R2c: 0.9657

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.03 (-0.22 to 0.27) 0.84 0.84 2.9 (2.1 to 3.6) <0.001 <0.001 3.0 (2.6 to 3.5) <0.001 <0.001
speed_cond_num 0.27 (-0.04 to 0.58) 0.087 0.21 0.38 (-0.31 to 1.1) 0.28 0.28 -0.25 (-0.66 to 0.15) 0.22 0.44
mean_StepDur_cov 0.02 (-0.01 to 0.05) 0.10 0.21 0.08 (0.02 to 0.14) 0.015 0.030 0.00 (-0.04 to 0.04) 0.91 0.91
speed_cond_num * mean_StepDur_cov -0.03 (-0.10 to 0.04) 0.47 0.63 -0.17 (-0.33 to -0.02) 0.030 0.041 -0.04 (-0.14 to 0.05) 0.36 0.48
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0042, R2c: 0.8247

alpha_avg_power R2m: 0.0039, R2c: 0.9528

beta_avg_power R2m: 0.0042, R2c: 0.9626

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.11 (-0.21 to 0.43) 0.50 0.50 3.5 (2.6 to 4.3) <0.001 <0.001 3.2 (2.6 to 3.7) <0.001 <0.001
speed_cond_num 0.22 (-0.09 to 0.54) 0.17 0.50 -0.17 (-0.87 to 0.52) 0.62 0.81 -0.38 (-0.79 to 0.03) 0.067 0.13
mean_UDexc_COV 0.01 (-0.01 to 0.02) 0.41 0.50 0.00 (-0.03 to 0.04) 0.81 0.81 0.00 (-0.02 to 0.01) 0.63 0.63
speed_cond_num * mean_UDexc_COV -0.01 (-0.04 to 0.02) 0.41 0.50 -0.05 (-0.11 to 0.01) 0.10 0.20 -0.01 (-0.05 to 0.02) 0.47 0.63
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0022, R2c: 0.8217

alpha_avg_power R2m: 0.0038, R2c: 0.9512

beta_avg_power R2m: 0.0044, R2c: 0.9628

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.03 (-0.25 to 0.32) 0.82 0.82 3.6 (2.8 to 4.4) <0.001 <0.001 2.9 (2.3 to 3.4) <0.001 <0.001
speed_cond_num -0.08 (-0.45 to 0.28) 0.65 0.82 -0.76 (-1.6 to 0.06) 0.069 0.14 -0.09 (-0.57 to 0.39) 0.72 0.72
mean_UDexc_mean 15 (-1.8 to 32) 0.080 0.32 -17 (-56 to 23) 0.41 0.41 5.6 (-17 to 29) 0.63 0.72
speed_cond_num * mean_UDexc_mean -5.9 (-21 to 9.2) 0.44 0.82 18 (-16 to 52) 0.29 0.39 -10 (-30 to 9.6) 0.31 0.62
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.011, R2c: 0.8255

alpha_avg_power R2m: 0.0029, R2c: 0.9512

beta_avg_power R2m: 0.0041, R2c: 0.9627

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) -0.05 (-0.35 to 0.26) 0.77 0.77 2.3 (1.5 to 3.2) <0.001 <0.001 2.9 (2.4 to 3.5) <0.001 <0.001
speed_cond_num -0.33 (-0.83 to 0.17) 0.19 0.38 -0.82 (-2.0 to 0.31) 0.15 0.19 -1.1 (-1.8 to -0.44) 0.001 0.002
mean_StanceDur -0.03 (-0.20 to 0.13) 0.69 0.77 0.24 (-0.12 to 0.59) 0.19 0.19 -0.19 (-0.40 to 0.02) 0.071 0.071
speed_cond_num * mean_StanceDur 0.93 (0.08 to 1.8) 0.031 0.12 1.7 (-0.30 to 3.6) 0.10 0.19 1.3 (0.09 to 2.4) 0.035 0.046
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.53 (NA to NA)

0.31 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0185, R2c: 0.8261

alpha_avg_power R2m: 0.0095, R2c: 0.9541

beta_avg_power R2m: 0.006, R2c: 0.9645

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) -0.06 (-0.38 to 0.27) 0.73 0.93 2.3 (1.4 to 3.2) <0.001 <0.001 2.9 (2.4 to 3.5) <0.001 <0.001
speed_cond_num -0.38 (-0.95 to 0.19) 0.19 0.38 -1.1 (-2.4 to 0.19) 0.093 0.12 -1.5 (-2.2 to -0.70) <0.001 <0.001
mean_GaitCycleDur 0.01 (-0.12 to 0.13) 0.93 0.93 0.22 (-0.06 to 0.50) 0.12 0.12 -0.15 (-0.31 to 0.01) 0.072 0.072
speed_cond_num * mean_GaitCycleDur 0.61 (0.03 to 1.2) 0.038 0.15 1.3 (-0.08 to 2.6) 0.065 0.12 1.1 (0.33 to 1.9) 0.005 0.007
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.53 (NA to NA)

0.31 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0204, R2c: 0.8259

alpha_avg_power R2m: 0.0112, R2c: 0.9543

beta_avg_power R2m: 0.0079, R2c: 0.9658

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.12 (-0.11 to 0.34) 0.31 0.47 3.8 (3.1 to 4.5) <0.001 <0.001 3.0 (2.5 to 3.4) <0.001 <0.001
speed_cond_num -0.14 (-0.52 to 0.24) 0.47 0.47 -0.07 (-0.91 to 0.78) 0.88 0.88 0.11 (-0.39 to 0.61) 0.67 0.71
mean_PeakUpDownVel_mean 1.2 (-0.43 to 2.9) 0.15 0.47 -5.0 (-8.8 to -1.1) 0.012 0.023 -0.84 (-3.1 to 1.4) 0.47 0.71
speed_cond_num * mean_PeakUpDownVel_mean -0.51 (-1.8 to 0.74) 0.43 0.47 3.0 (0.25 to 5.8) 0.033 0.044 -0.31 (-1.9 to 1.3) 0.71 0.71
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.31 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0077, R2c: 0.8219

alpha_avg_power R2m: 0.0062, R2c: 0.9524

beta_avg_power R2m: 0.0053, R2c: 0.9627

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.29 (0.00 to 0.58) 0.051 0.20 3.5 (2.7 to 4.4) <0.001 <0.001 2.4 (2.0 to 2.9) <0.001 <0.001
speed_cond_num 0.14 (-0.16 to 0.44) 0.36 0.60 0.39 (-0.41 to 1.2) 0.34 0.34 0.09 (-0.32 to 0.50) 0.67 0.67
mean_APexc_COV 0.00 (-0.01 to 0.01) 0.45 0.60 0.01 (-0.01 to 0.04) 0.26 0.34 0.01 (0.00 to 0.02) 0.12 0.23
speed_cond_num * mean_APexc_COV 0.00 (-0.01 to 0.02) 0.81 0.81 -0.03 (-0.07 to 0.01) 0.14 0.27 -0.01 (-0.03 to 0.01) 0.20 0.26
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0038, R2c: 0.9349

alpha_avg_power R2m: 9e-04, R2c: 0.9482

beta_avg_power R2m: 0.0021, R2c: 0.9519

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.28 (-0.01 to 0.57) 0.058 0.23 3.7 (2.9 to 4.5) <0.001 <0.001 2.6 (2.2 to 3.1) <0.001 <0.001
speed_cond_num 0.20 (-0.13 to 0.52) 0.23 0.46 -0.47 (-1.3 to 0.39) 0.29 0.42 -0.46 (-0.89 to -0.02) 0.040 0.080
mean_APexc_mean 1.3 (-2.2 to 4.9) 0.46 0.62 0.56 (-9.1 to 10) 0.91 0.91 -0.97 (-5.9 to 3.9) 0.70 0.70
speed_cond_num * mean_APexc_mean 0.12 (-7.6 to 7.8) 0.98 0.98 11 (-10 to 31) 0.32 0.42 8.4 (-2.1 to 19) 0.12 0.16
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0031, R2c: 0.9343

alpha_avg_power R2m: 0.0014, R2c: 0.9487

beta_avg_power R2m: 0.0027, R2c: 0.9528

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.34 (0.07 to 0.61) 0.014 0.056 4.3 (3.5 to 5.1) <0.001 <0.001 2.8 (2.4 to 3.2) <0.001 <0.001
speed_cond_num 0.17 (-0.14 to 0.49) 0.27 0.55 -1.0 (-1.9 to -0.21) 0.014 0.028 -0.42 (-0.85 to 0.00) 0.052 0.10
mean_MLexc_COV 0.00 (-0.01 to 0.02) 0.68 0.83 -0.03 (-0.07 to 0.00) 0.075 0.075 -0.01 (-0.03 to 0.01) 0.24 0.24
speed_cond_num * mean_MLexc_COV 0.00 (-0.02 to 0.02) 0.83 0.83 0.06 (0.00 to 0.11) 0.033 0.043 0.02 (-0.01 to 0.04) 0.23 0.24
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0026, R2c: 0.9339

alpha_avg_power R2m: 0.0014, R2c: 0.9488

beta_avg_power R2m: 0.0018, R2c: 0.9517

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.54 (0.21 to 0.88) 0.002 0.006 3.7 (2.7 to 4.6) <0.001 <0.001 2.4 (1.9 to 2.9) <0.001 <0.001
speed_cond_num 0.08 (-0.20 to 0.37) 0.56 0.74 0.27 (-0.49 to 1.0) 0.49 0.49 0.11 (-0.27 to 0.50) 0.56 0.56
mean_MLexc_mean -1.1 (-3.2 to 1.0) 0.32 0.64 2.6 (-3.1 to 8.3) 0.37 0.49 2.3 (-0.60 to 5.2) 0.12 0.24
speed_cond_num * mean_MLexc_mean -0.72 (-5.0 to 3.6) 0.74 0.74 -7.4 (-19 to 4.2) 0.21 0.43 -3.3 (-9.2 to 2.6) 0.27 0.36
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0039, R2c: 0.9345

alpha_avg_power R2m: 9e-04, R2c: 0.948

beta_avg_power R2m: 0.002, R2c: 0.9523

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.36 (0.02 to 0.70) 0.037 0.15 3.5 (2.5 to 4.4) <0.001 <0.001 2.6 (2.1 to 3.1) <0.001 <0.001
speed_cond_num 0.05 (-0.47 to 0.57) 0.84 0.84 -1.0 (-2.4 to 0.35) 0.14 0.20 -0.35 (-1.1 to 0.36) 0.33 0.67
mean_StepDur -0.02 (-0.24 to 0.20) 0.84 0.84 -0.04 (-0.63 to 0.55) 0.89 0.89 -0.02 (-0.32 to 0.28) 0.89 0.89
speed_cond_num * mean_StepDur 0.22 (-0.87 to 1.3) 0.70 0.84 2.2 (-0.78 to 5.1) 0.15 0.20 0.38 (-1.1 to 1.9) 0.62 0.82
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0027, R2c: 0.934

alpha_avg_power R2m: 0.003, R2c: 0.9489

beta_avg_power R2m: 0.0018, R2c: 0.9518

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.37 (0.11 to 0.63) 0.006 0.024 3.9 (3.2 to 4.7) <0.001 <0.001 2.6 (2.2 to 3.0) <0.001 <0.001
speed_cond_num 0.18 (-0.10 to 0.45) 0.20 0.41 0.31 (-0.40 to 1.0) 0.40 0.53 -0.04 (-0.41 to 0.33) 0.85 0.85
mean_StepDur_cov 0.00 (-0.02 to 0.03) 0.89 0.89 0.02 (-0.05 to 0.09) 0.59 0.59 0.01 (-0.02 to 0.05) 0.53 0.71
speed_cond_num * mean_StepDur_cov -0.01 (-0.07 to 0.05) 0.86 0.89 -0.18 (-0.34 to -0.03) 0.023 0.045 -0.04 (-0.12 to 0.04) 0.32 0.64
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0026, R2c: 0.934

alpha_avg_power R2m: 0.003, R2c: 0.9494

beta_avg_power R2m: 0.0018, R2c: 0.9515

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.22 (-0.11 to 0.55) 0.20 0.39 4.1 (3.1 to 5.0) <0.001 <0.001 2.5 (2.1 to 3.0) <0.001 <0.001
speed_cond_num 0.22 (-0.05 to 0.50) 0.12 0.39 -0.14 (-0.89 to 0.60) 0.71 0.83 -0.03 (-0.41 to 0.35) 0.87 0.87
mean_UDexc_COV 0.01 (-0.01 to 0.02) 0.38 0.51 0.00 (-0.04 to 0.03) 0.83 0.83 0.01 (-0.01 to 0.02) 0.42 0.74
speed_cond_num * mean_UDexc_COV 0.01 (-0.02 to 0.03) 0.67 0.67 -0.03 (-0.10 to 0.04) 0.42 0.83 -0.01 (-0.05 to 0.02) 0.56 0.74
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0034, R2c: 0.9347

alpha_avg_power R2m: 9e-04, R2c: 0.9477

beta_avg_power R2m: 0.0017, R2c: 0.9515

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.31 (0.02 to 0.60) 0.037 0.15 4.2 (3.3 to 5.0) <0.001 <0.001 2.9 (2.5 to 3.3) <0.001 <0.001
speed_cond_num -0.15 (-0.47 to 0.17) 0.37 0.49 -0.55 (-1.4 to 0.32) 0.22 0.29 -0.18 (-0.62 to 0.27) 0.43 0.43
mean_UDexc_mean 9.9 (-5.2 to 25) 0.20 0.39 -20 (-61 to 21) 0.34 0.34 -19 (-40 to 1.4) 0.067 0.13
speed_cond_num * mean_UDexc_mean 0.77 (-12 to 13) 0.91 0.91 21 (-13 to 56) 0.22 0.29 12 (-5.0 to 30) 0.16 0.22
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0067, R2c: 0.9357

alpha_avg_power R2m: 8e-04, R2c: 0.948

beta_avg_power R2m: 0.0034, R2c: 0.9511

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.36 (0.04 to 0.68) 0.026 0.10 3.5 (2.6 to 4.4) <0.001 <0.001 2.6 (2.1 to 3.1) <0.001 <0.001
speed_cond_num 0.03 (-0.42 to 0.48) 0.90 0.90 -0.74 (-2.0 to 0.48) 0.23 0.31 -0.20 (-0.82 to 0.43) 0.54 0.89
mean_StanceDur -0.03 (-0.17 to 0.11) 0.66 0.88 -0.03 (-0.41 to 0.35) 0.89 0.89 0.02 (-0.18 to 0.21) 0.85 0.89
speed_cond_num * mean_StanceDur 0.21 (-0.58 to 1.0) 0.60 0.88 1.3 (-0.84 to 3.4) 0.23 0.31 0.08 (-1.0 to 1.2) 0.89 0.89
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0028, R2c: 0.934

alpha_avg_power R2m: 0.0022, R2c: 0.9487

beta_avg_power R2m: 0.0016, R2c: 0.9516

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.36 (0.02 to 0.70) 0.037 0.15 3.5 (2.5 to 4.4) <0.001 <0.001 2.6 (2.1 to 3.1) <0.001 <0.001
speed_cond_num 0.06 (-0.46 to 0.58) 0.83 0.85 -1.0 (-2.4 to 0.36) 0.15 0.21 -0.36 (-1.1 to 0.36) 0.33 0.65
mean_GaitCycleDur -0.01 (-0.12 to 0.10) 0.85 0.85 -0.02 (-0.32 to 0.27) 0.89 0.89 -0.01 (-0.16 to 0.14) 0.89 0.89
speed_cond_num * mean_GaitCycleDur 0.10 (-0.44 to 0.65) 0.71 0.85 1.1 (-0.41 to 2.5) 0.16 0.21 0.20 (-0.55 to 0.95) 0.60 0.81
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0027, R2c: 0.934

alpha_avg_power R2m: 0.0029, R2c: 0.9488

beta_avg_power R2m: 0.0018, R2c: 0.9518

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.33 (0.08 to 0.58) 0.010 0.041 4.0 (3.3 to 4.8) <0.001 <0.001 2.8 (2.4 to 3.2) <0.001 <0.001
speed_cond_num -0.26 (-0.60 to 0.08) 0.14 0.19 0.08 (-0.86 to 1.0) 0.86 0.86 0.16 (-0.31 to 0.64) 0.50 0.50
mean_PeakUpDownVel_mean 1.4 (-0.15 to 2.9) 0.078 0.16 -2.5 (-6.7 to 1.7) 0.25 0.49 -2.1 (-4.3 to -0.01) 0.049 0.10
speed_cond_num * mean_PeakUpDownVel_mean -0.23 (-1.3 to 0.85) 0.67 0.67 1.4 (-1.6 to 4.3) 0.37 0.49 0.94 (-0.56 to 2.4) 0.22 0.29
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0078, R2c: 0.9365

alpha_avg_power R2m: 0.0013, R2c: 0.9479

beta_avg_power R2m: 0.0045, R2c: 0.9512

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.37 (-0.02 to 0.75) 0.060 0.088 0.96 (0.29 to 1.6) 0.005 0.020 1.2 (0.85 to 1.6) <0.001 <0.001
speed_cond_num 0.70 (0.31 to 1.1) <0.001 0.002 0.61 (-0.13 to 1.3) 0.10 0.10 0.06 (-0.29 to 0.40) 0.75 0.75
mean_APexc_COV 0.01 (-0.01 to 0.02) 0.35 0.35 0.03 (0.00 to 0.05) 0.036 0.047 0.00 (-0.01 to 0.02) 0.53 0.70
speed_cond_num * mean_APexc_COV -0.02 (-0.03 to 0.00) 0.066 0.088 -0.04 (-0.07 to 0.00) 0.027 0.047 -0.01 (-0.03 to 0.00) 0.062 0.12
subj_char.sd__(Intercept) 0.87 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0146, R2c: 0.9126

alpha_avg_power R2m: 0.0056, R2c: 0.8596

beta_avg_power R2m: 0.0052, R2c: 0.9542

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.49 (0.11 to 0.86) 0.010 0.042 0.57 (-0.06 to 1.2) 0.075 0.075 1.1 (0.69 to 1.5) <0.001 <0.001
speed_cond_num 0.44 (0.00 to 0.89) 0.051 0.10 0.81 (0.00 to 1.6) 0.050 0.075 -0.26 (-0.64 to 0.13) 0.20 0.26
mean_APexc_mean 0.48 (-4.7 to 5.7) 0.86 0.86 18 (8.1 to 27) <0.001 0.001 3.5 (-1.0 to 8.0) 0.13 0.26
speed_cond_num * mean_APexc_mean -2.0 (-13 to 8.5) 0.70 0.86 -18 (-37 to 1.6) 0.072 0.075 3.8 (-5.4 to 13) 0.42 0.42
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.50 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0124, R2c: 0.9126

alpha_avg_power R2m: 0.0143, R2c: 0.8656

beta_avg_power R2m: 0.0076, R2c: 0.9548

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.40 (0.03 to 0.76) 0.033 0.065 1.2 (0.53 to 1.8) <0.001 0.001 1.3 (0.90 to 1.7) <0.001 <0.001
speed_cond_num 0.64 (0.18 to 1.1) 0.006 0.025 -0.13 (-0.98 to 0.72) 0.77 0.77 -0.26 (-0.66 to 0.15) 0.22 0.44
mean_MLexc_COV 0.01 (-0.01 to 0.03) 0.55 0.55 0.03 (0.00 to 0.07) 0.081 0.16 0.00 (-0.01 to 0.02) 0.62 0.83
speed_cond_num * mean_MLexc_COV -0.02 (-0.05 to 0.01) 0.27 0.36 -0.02 (-0.07 to 0.04) 0.56 0.74 0.00 (-0.03 to 0.03) 0.97 0.97
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0132, R2c: 0.9129

alpha_avg_power R2m: 0.0075, R2c: 0.8621

beta_avg_power R2m: 0.0037, R2c: 0.9525

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.37 (-0.07 to 0.81) 0.10 0.19 0.77 (0.01 to 1.5) 0.047 0.062 0.94 (0.50 to 1.4) <0.001 <0.001
speed_cond_num 0.41 (0.02 to 0.79) 0.039 0.16 0.76 (0.05 to 1.5) 0.036 0.062 0.03 (-0.30 to 0.37) 0.84 0.84
mean_MLexc_mean 0.75 (-2.1 to 3.6) 0.61 0.77 7.4 (2.1 to 13) 0.006 0.024 2.9 (0.35 to 5.4) 0.025 0.051
speed_cond_num * mean_MLexc_mean 0.84 (-4.8 to 6.5) 0.77 0.77 -9.9 (-20 to 0.50) 0.062 0.062 -0.60 (-5.6 to 4.4) 0.81 0.84
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0132, R2c: 0.9129

alpha_avg_power R2m: 0.0078, R2c: 0.8621

beta_avg_power R2m: 0.0068, R2c: 0.9536

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.54 (0.11 to 0.96) 0.013 0.052 0.86 (0.12 to 1.6) 0.023 0.090 1.0 (0.59 to 1.4) <0.001 <0.001
speed_cond_num -0.05 (-0.75 to 0.65) 0.88 0.88 0.17 (-1.1 to 1.5) 0.79 0.99 -0.78 (-1.4 to -0.16) 0.014 0.027
mean_StepDur -0.15 (-0.47 to 0.16) 0.34 0.46 0.57 (-0.02 to 1.2) 0.058 0.12 0.04 (-0.24 to 0.31) 0.80 0.80
speed_cond_num * mean_StepDur 0.79 (-0.63 to 2.2) 0.28 0.46 0.02 (-2.6 to 2.6) 0.99 0.99 1.4 (0.15 to 2.7) 0.028 0.037
subj_char.sd__(Intercept) 0.87 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0141, R2c: 0.9111

alpha_avg_power R2m: 0.0075, R2c: 0.8631

beta_avg_power R2m: 0.0113, R2c: 0.9562

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.56 (0.18 to 0.94) 0.004 0.017 1.3 (0.64 to 2.0) <0.001 <0.001 1.4 (1.0 to 1.8) <0.001 <0.001
speed_cond_num 0.30 (-0.11 to 0.70) 0.15 0.29 0.09 (-0.68 to 0.85) 0.83 0.83 -0.25 (-0.61 to 0.11) 0.17 0.33
mean_StepDur_cov -0.01 (-0.05 to 0.03) 0.69 0.81 0.03 (-0.04 to 0.11) 0.39 0.77 -0.01 (-0.05 to 0.03) 0.64 0.78
speed_cond_num * mean_StepDur_cov 0.01 (-0.07 to 0.09) 0.81 0.81 -0.04 (-0.20 to 0.11) 0.58 0.77 -0.01 (-0.09 to 0.06) 0.78 0.78
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0124, R2c: 0.9125

alpha_avg_power R2m: 0.0023, R2c: 0.8574

beta_avg_power R2m: 0.0038, R2c: 0.9526

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.55 (0.08 to 1.0) 0.022 0.088 1.7 (0.89 to 2.6) <0.001 <0.001 1.6 (1.1 to 2.0) <0.001 <0.001
speed_cond_num 0.18 (-0.23 to 0.59) 0.38 0.51 -0.03 (-0.81 to 0.74) 0.93 0.99 -0.26 (-0.62 to 0.11) 0.17 0.25
mean_UDexc_COV -0.01 (-0.03 to 0.01) 0.53 0.53 0.00 (-0.04 to 0.04) 0.99 0.99 -0.01 (-0.02 to 0.01) 0.42 0.42
speed_cond_num * mean_UDexc_COV 0.02 (-0.01 to 0.05) 0.24 0.49 -0.04 (-0.10 to 0.02) 0.23 0.45 -0.02 (-0.05 to 0.01) 0.19 0.25
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.013, R2c: 0.9132

alpha_avg_power R2m: 0.0042, R2c: 0.8573

beta_avg_power R2m: 0.0057, R2c: 0.9529

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.25 (-0.12 to 0.62) 0.18 0.18 1.2 (0.58 to 1.8) <0.001 <0.001 1.3 (0.87 to 1.6) <0.001 <0.001
speed_cond_num 0.51 (0.06 to 0.95) 0.025 0.10 -0.93 (-1.8 to -0.09) 0.030 0.059 -0.39 (-0.79 to 0.01) 0.055 0.11
mean_UDexc_mean 17 (-3.7 to 38) 0.11 0.14 38 (-0.27 to 77) 0.052 0.069 7.9 (-11 to 27) 0.41 0.55
speed_cond_num * mean_UDexc_mean -15 (-32 to 2.4) 0.092 0.14 -8.6 (-41 to 23) 0.60 0.60 -1.7 (-17 to 14) 0.83 0.83
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.2 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0147, R2c: 0.9143

alpha_avg_power R2m: 0.0186, R2c: 0.8542

beta_avg_power R2m: 0.0046, R2c: 0.9524

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.50 (0.10 to 0.90) 0.014 0.055 0.89 (0.21 to 1.6) 0.011 0.043 1.0 (0.63 to 1.4) <0.001 <0.001
speed_cond_num 0.02 (-0.60 to 0.64) 0.94 0.94 0.22 (-0.92 to 1.4) 0.71 0.94 -0.62 (-1.2 to -0.07) 0.026 0.053
mean_StanceDur -0.10 (-0.30 to 0.11) 0.36 0.48 0.37 (-0.01 to 0.75) 0.057 0.11 0.00 (-0.17 to 0.18) 0.97 0.97
speed_cond_num * mean_StanceDur 0.56 (-0.49 to 1.6) 0.30 0.48 0.00 (-1.9 to 1.9)
0.99
0.99
0.92 (-0.01 to 1.9) 0.053 0.071
subj_char.sd__(Intercept) 0.87 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0139, R2c: 0.9112

alpha_avg_power R2m: 0.0075, R2c: 0.8629

beta_avg_power R2m: 0.0093, R2c: 0.9553

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.54 (0.11 to 0.96) 0.013 0.053 0.86 (0.12 to 1.6) 0.023 0.091 1.0 (0.59 to 1.4) <0.001 <0.001
speed_cond_num -0.05 (-0.75 to 0.65) 0.89 0.89 0.17 (-1.1 to 1.5) 0.79 0.98 -0.79 (-1.4 to -0.17) 0.013 0.026
mean_GaitCycleDur -0.08 (-0.23 to 0.08) 0.35 0.46 0.28 (-0.01 to 0.58) 0.058 0.12 0.02 (-0.12 to 0.15) 0.80 0.80
speed_cond_num * mean_GaitCycleDur 0.40 (-0.32 to 1.1) 0.28 0.46 0.01 (-1.3 to 1.3) 0.98 0.98 0.72 (0.08 to 1.4) 0.027 0.035
subj_char.sd__(Intercept) 0.87 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.014, R2c: 0.9111

alpha_avg_power R2m: 0.0076, R2c: 0.8631

beta_avg_power R2m: 0.0115, R2c: 0.9563

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.39 (0.07 to 0.71) 0.016 0.031 1.8 (1.3 to 2.4) <0.001 <0.001 1.4 (1.1 to 1.8) <0.001 <0.001
speed_cond_num 0.72 (0.24 to 1.2) 0.003 0.012 -0.33 (-1.2 to 0.56) 0.47 0.47 -0.14 (-0.57 to 0.28) 0.51 0.51
mean_PeakUpDownVel_mean 0.21 (-1.9 to 2.3) 0.84 0.84 -2.5 (-6.3 to 1.4) 0.21 0.28 -0.98 (-2.9 to 0.91) 0.31 0.51
speed_cond_num * mean_PeakUpDownVel_mean -0.85 (-2.3 to 0.60) 0.25 0.34 2.2 (-0.59 to 4.9) 0.12 0.25 0.58 (-0.73 to 1.9) 0.39 0.51
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.014, R2c: 0.9137

alpha_avg_power R2m: 0.0042, R2c: 0.8618

beta_avg_power R2m: 0.0042, R2c: 0.9532

MEDIATION (C’ & B)) LME EEG ~ 1+kin+speed

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.47 (0.13 to 0.82) 0.008 0.012 1.3 (0.63 to 1.9) <0.001 <0.001 2.2 (1.7 to 2.8) <0.001 <0.001
speed_cond_num 0.27 (0.11 to 0.43) <0.001 0.002 -0.06 (-0.28 to 0.16) 0.57 0.62 -0.21 (-0.36 to -0.07) 0.004 0.006
mean_APexc_COV 0.00 (-0.01 to 0.01) 0.89 0.89 0.00 (-0.01 to 0.02) 0.62 0.62 0.01 (-0.01 to 0.02) 0.31 0.31
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.8474

alpha_avg_power R2m: 3e-04, R2c: 0.9503

beta_avg_power R2m: 0.0016, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.35 (-0.02 to 0.71) 0.066 0.10 0.89 (0.22 to 1.6) 0.009 0.027 2.2 (1.7 to 2.8) <0.001 <0.001
speed_cond_num 0.32 (0.12 to 0.53) 0.002 0.006 0.16 (-0.13 to 0.45) 0.27 0.27 -0.18 (-0.37 to 0.01) 0.060 0.090
mean_APexc_mean 1.6 (-2.7 to 5.9) 0.47 0.47 7.4 (1.3 to 13) 0.018 0.027 1.6 (-2.4 to 5.7) 0.43 0.43
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.45 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0089, R2c: 0.8475

alpha_avg_power R2m: 0.0027, R2c: 0.952

beta_avg_power R2m: 0.0014, R2c: 0.9754

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.46 (0.21 to 0.72) <0.001 0.001 1.4 (0.80 to 1.9) <0.001 <0.001 2.4 (1.9 to 2.8) <0.001 <0.001
speed_cond_num 0.28 (0.11 to 0.45) 0.001 0.002 -0.10 (-0.34 to 0.14) 0.40 0.60 -0.23 (-0.39 to -0.08) 0.003 0.005
mean_MLexc_COV 0.00 (-0.01 to 0.01) 0.89 0.89 0.00 (-0.01 to 0.02) 0.73 0.73 0.00 (-0.01 to 0.01) 0.97 0.97
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.8474

alpha_avg_power R2m: 2e-04, R2c: 0.9504

beta_avg_power R2m: 0.0012, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.79 (0.32 to 1.3) 0.001 0.003 1.2 (0.41 to 2.0) 0.003 0.009 2.3 (1.7 to 2.9) <0.001 <0.001
speed_cond_num 0.06 (-0.25 to 0.36) 0.71 0.71 0.03 (-0.41 to 0.47) 0.89 0.89 -0.21 (-0.50 to 0.08) 0.15 0.23
mean_MLexc_mean -2.4 (-5.3 to 0.57) 0.11 0.17 1.3 (-3.0 to 5.5) 0.57 0.85 0.28 (-2.5 to 3.1) 0.84 0.84
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0133, R2c: 0.8508

alpha_avg_power R2m: 4e-04, R2c: 0.9501

beta_avg_power R2m: 0.0012, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.40 (-0.07 to 0.86) 0.093 0.14 1.0 (0.26 to 1.8) 0.009 0.027 2.5 (1.9 to 3.1) <0.001 <0.001
speed_cond_num 0.30 (0.02 to 0.59) 0.036 0.11 0.12 (-0.28 to 0.52) 0.55 0.55 -0.32 (-0.58 to -0.05) 0.018 0.027
mean_StepDur 0.04 (-0.28 to 0.37) 0.79 0.79 0.28 (-0.18 to 0.73) 0.24 0.36 -0.11 (-0.41 to 0.19) 0.48 0.48
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0083, R2c: 0.847

alpha_avg_power R2m: 7e-04, R2c: 0.9509

beta_avg_power R2m: 0.0013, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.41 (0.06 to 0.76) 0.021 0.031 1.3 (0.63 to 1.9) <0.001 <0.001 2.4 (1.9 to 3.0) <0.001 <0.001
speed_cond_num 0.30 (0.07 to 0.53) 0.009 0.027 -0.01 (-0.33 to 0.30) 0.93 0.93 -0.28 (-0.49 to -0.07) 0.008 0.012
mean_StepDur_cov 0.01 (-0.03 to 0.04) 0.74 0.74 0.01 (-0.03 to 0.06) 0.58 0.86 -0.01 (-0.04 to 0.02) 0.58 0.58
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0083, R2c: 0.8469

alpha_avg_power R2m: 2e-04, R2c: 0.9505

beta_avg_power R2m: 0.0013, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.57 (0.10 to 1.0) 0.017 0.051 1.5 (0.71 to 2.3) <0.001 <0.001 2.4 (1.8 to 3.0) <0.001 <0.001
speed_cond_num 0.20 (-0.12 to 0.51) 0.23 0.34 -0.15 (-0.60 to 0.30) 0.51 0.74 -0.27 (-0.56 to 0.03) 0.074 0.11
mean_UDexc_COV 0.00 (-0.02 to 0.01) 0.60 0.60 0.00 (-0.03 to 0.02) 0.74 0.74 0.00 (-0.02 to 0.01) 0.82 0.82
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0085, R2c: 0.848

alpha_avg_power R2m: 2e-04, R2c: 0.9503

beta_avg_power R2m: 0.0012, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.44 (0.20 to 0.69) <0.001 <0.001 1.3 (0.73 to 1.8) <0.001 <0.001 2.3 (1.8 to 2.8) <0.001 <0.001
speed_cond_num 0.23 (-0.18 to 0.64) 0.27 0.41 -0.51 (-1.1 to 0.07) 0.086 0.12 -0.28 (-0.66 to 0.11) 0.16 0.24
mean_UDexc_mean 1.5 (-12 to 15) 0.84 0.84 16 (-4.3 to 36) 0.12 0.12 1.5 (-12 to 15) 0.82 0.82
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.8479

alpha_avg_power R2m: 0.0016, R2c: 0.9506

beta_avg_power R2m: 0.0012, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.41 (-0.01 to 0.83) 0.056 0.084 1.0 (0.31 to 1.8) 0.005 0.016 2.4 (1.9 to 3.0) <0.001 <0.001
speed_cond_num 0.30 (0.02 to 0.59) 0.037 0.084 0.16 (-0.24 to 0.55) 0.44 0.44 -0.29 (-0.56 to -0.03) 0.026 0.040
mean_StanceDur 0.02 (-0.17 to 0.22) 0.81 0.81 0.19 (-0.08 to 0.46) 0.17 0.25 -0.05 (-0.22 to 0.13) 0.60 0.60
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0083, R2c: 0.847

alpha_avg_power R2m: 8e-04, R2c: 0.951

beta_avg_power R2m: 0.0013, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.40 (-0.07 to 0.86) 0.094 0.14 1.0 (0.26 to 1.8) 0.009 0.027 2.5 (1.9 to 3.1) <0.001 <0.001
speed_cond_num 0.31 (0.02 to 0.59) 0.035 0.11 0.12 (-0.28 to 0.52) 0.55 0.55 -0.32 (-0.58 to -0.06) 0.018 0.027
mean_GaitCycleDur 0.02 (-0.14 to 0.18) 0.78 0.78 0.14 (-0.09 to 0.37) 0.24 0.36 -0.05 (-0.20 to 0.10) 0.48 0.48
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0083, R2c: 0.847

alpha_avg_power R2m: 7e-04, R2c: 0.9509

beta_avg_power R2m: 0.0013, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.45 (0.23 to 0.68) <0.001 <0.001 1.4 (0.85 to 1.9) <0.001 <0.001 2.3 (1.9 to 2.8) <0.001 <0.001
speed_cond_num 0.26 (-0.30 to 0.82) 0.36 0.54 -0.55 (-1.3 to 0.26) 0.18 0.24 -0.47 (-1.0 to 0.06) 0.081 0.12
mean_PeakUpDownVel_mean 0.02 (-1.4 to 1.4) 0.97 0.97 1.2 (-0.81 to 3.2) 0.24 0.24 0.61 (-0.72 to 1.9) 0.37 0.37
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.8474

alpha_avg_power R2m: 0.001, R2c: 0.9507

beta_avg_power R2m: 0.0015, R2c: 0.9754

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) -0.10 (-0.34 to 0.15) 0.43 0.43 2.4 (1.6 to 3.3) <0.001 <0.001 3.3 (2.8 to 3.9) <0.001 <0.001
speed_cond_num 0.26 (0.16 to 0.37) <0.001 <0.001 -0.44 (-0.75 to -0.13) 0.005 0.008 -0.49 (-0.66 to -0.32) <0.001 <0.001
mean_APexc_COV 0.01 (0.00 to 0.02) 0.031 0.047 0.01 (-0.01 to 0.03) 0.30 0.30 0.00 (-0.01 to 0.01) 0.91 0.91
subj_char.sd__(Intercept) 0.67 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0142, R2c: 0.899

alpha_avg_power R2m: 0.0035, R2c: 0.9353

beta_avg_power R2m: 0.0056, R2c: 0.9595

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.01 (-0.27 to 0.28) 0.96 0.96 2.5 (1.6 to 3.4) <0.001 <0.001 3.4 (2.8 to 4.0) <0.001 <0.001
speed_cond_num 0.27 (0.13 to 0.41) <0.001 <0.001 -0.38 (-0.81 to 0.06) 0.091 0.14 -0.53 (-0.76 to -0.29) <0.001 <0.001
mean_APexc_mean 1.2 (-1.9 to 4.3) 0.44 0.67 3.5 (-5.9 to 13) 0.46 0.46 -1.0 (-6.1 to 4.1) 0.70 0.70
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.009, R2c: 0.8933

alpha_avg_power R2m: 0.003, R2c: 0.9351

beta_avg_power R2m: 0.0057, R2c: 0.9595

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) -0.04 (-0.24 to 0.15) 0.66 0.66 2.5 (1.7 to 3.2) <0.001 <0.001 3.3 (2.8 to 3.8) <0.001 <0.001
speed_cond_num 0.14 (0.03 to 0.26) 0.012 0.019 -0.67 (-1.0 to -0.33) <0.001 <0.001 -0.51 (-0.70 to -0.32) <0.001 <0.001
mean_MLexc_COV 0.01 (0.00 to 0.02) 0.005 0.014 0.03 (0.00 to 0.06) 0.056 0.056 0.00 (-0.01 to 0.02) 0.76 0.76
subj_char.sd__(Intercept) 0.65 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.68 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0153, R2c: 0.8969

alpha_avg_power R2m: 0.0045, R2c: 0.9369

beta_avg_power R2m: 0.0056, R2c: 0.9596

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.23 (-0.12 to 0.58) 0.20 0.29 2.1 (0.96 to 3.2) <0.001 <0.001 3.1 (2.4 to 3.8) <0.001 <0.001
speed_cond_num 0.14 (-0.07 to 0.35) 0.18 0.29 -0.10 (-0.74 to 0.54) 0.76 0.76 -0.34 (-0.69 to 0.00) 0.053 0.080
mean_MLexc_mean -0.99 (-3.2 to 1.2) 0.37 0.37 4.6 (-2.1 to 11) 0.18 0.26 1.7 (-1.9 to 5.3) 0.35 0.35
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0095, R2c: 0.8946

alpha_avg_power R2m: 0.0043, R2c: 0.9354

beta_avg_power R2m: 0.0061, R2c: 0.9598

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.07 (-0.27 to 0.40) 0.70 0.86 2.3 (1.2 to 3.4) <0.001 <0.001 3.3 (2.7 to 4.0) <0.001 <0.001
speed_cond_num 0.24 (0.05 to 0.44) 0.015 0.045 -0.26 (-0.85 to 0.34) 0.39 0.39 -0.48 (-0.80 to -0.16) 0.003 0.005
mean_StepDur 0.02 (-0.21 to 0.25) 0.86 0.86 0.32 (-0.37 to 1.0) 0.37 0.39 0.02 (-0.36 to 0.39) 0.94 0.94
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0084, R2c: 0.8932

alpha_avg_power R2m: 0.003, R2c: 0.935

beta_avg_power R2m: 0.0056, R2c: 0.9596

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.02 (-0.23 to 0.27) 0.85 0.85 2.6 (1.8 to 3.5) <0.001 <0.001 3.5 (3.0 to 4.0) <0.001 <0.001
speed_cond_num 0.27 (0.12 to 0.43) <0.001 0.002 -0.44 (-0.90 to 0.03) 0.067 0.10 -0.59 (-0.84 to -0.34) <0.001 <0.001
mean_StepDur_cov 0.01 (-0.01 to 0.03) 0.48 0.71 0.01 (-0.05 to 0.07) 0.74 0.74 -0.02 (-0.05 to 0.02) 0.33 0.33
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.8929

alpha_avg_power R2m: 0.0027, R2c: 0.9349

beta_avg_power R2m: 0.0059, R2c: 0.9594

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) -0.14 (-0.46 to 0.19) 0.42 0.42 3.0 (1.9 to 4.1) <0.001 <0.001 3.4 (2.8 to 4.1) <0.001 <0.001
speed_cond_num 0.38 (0.17 to 0.59) <0.001 0.001 -0.67 (-1.3 to -0.02) 0.043 0.065 -0.56 (-0.91 to -0.21) 0.002 0.002
mean_UDexc_COV 0.01 (0.00 to 0.02) 0.11 0.17 -0.01 (-0.05 to 0.03) 0.56 0.56 0.00 (-0.02 to 0.02) 0.68 0.68
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0106, R2c: 0.8948

alpha_avg_power R2m: 0.0028, R2c: 0.9344

beta_avg_power R2m: 0.0057, R2c: 0.9595

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.10 (-0.08 to 0.28) 0.28 0.42 2.6 (1.9 to 3.3) <0.001 <0.001 3.4 (3.0 to 3.9) <0.001 <0.001
speed_cond_num 0.26 (0.00 to 0.53) 0.050 0.15 -1.0 (-1.8 to -0.21) 0.014 0.021 -0.15 (-0.59 to 0.28) 0.49 0.49
mean_UDexc_mean -1.3 (-11 to 7.8) 0.78 0.78 19 (-8.7 to 47) 0.18 0.18 -13 (-28 to 2.4) 0.10 0.15
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0085, R2c: 0.8929

alpha_avg_power R2m: 0.004, R2c: 0.935

beta_avg_power R2m: 0.0069, R2c: 0.9606

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.06 (-0.25 to 0.36) 0.71 0.79 2.3 (1.3 to 3.3) <0.001 <0.001 3.3 (2.7 to 3.9) <0.001 <0.001
speed_cond_num 0.25 (0.06 to 0.45) 0.011 0.033 -0.19 (-0.77 to 0.40) 0.53 0.53 -0.45 (-0.77 to -0.13) 0.005 0.008
mean_StanceDur 0.02 (-0.11 to 0.15) 0.79 0.79 0.24 (-0.16 to 0.64) 0.24 0.35 0.03 (-0.18 to 0.25) 0.76 0.76
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0084, R2c: 0.8932

alpha_avg_power R2m: 0.0032, R2c: 0.9352

beta_avg_power R2m: 0.0056, R2c: 0.9597

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.07 (-0.27 to 0.40) 0.69 0.88 2.3 (1.2 to 3.4) <0.001 <0.001 3.3 (2.7 to 4.0) <0.001 <0.001
speed_cond_num 0.24 (0.05 to 0.44) 0.016 0.047 -0.26 (-0.85 to 0.34) 0.40 0.40 -0.48 (-0.80 to -0.16) 0.003 0.005
mean_GaitCycleDur 0.01 (-0.10 to 0.12) 0.88 0.88 0.16 (-0.18 to 0.50) 0.36 0.40 0.01 (-0.18 to 0.19) 0.94 0.94
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0084, R2c: 0.8932

alpha_avg_power R2m: 0.0031, R2c: 0.9351

beta_avg_power R2m: 0.0056, R2c: 0.9596

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.08 (-0.09 to 0.26) 0.34 0.53 2.7 (2.1 to 3.4) <0.001 <0.001 3.4 (2.9 to 3.8) <0.001 <0.001
speed_cond_num 0.07 (-0.29 to 0.42) 0.72 0.72 -1.0 (-2.1 to 0.09) 0.073 0.11 -0.11 (-0.70 to 0.48) 0.72 0.72
mean_PeakUpDownVel_mean 0.44 (-0.48 to 1.4) 0.35 0.53 1.3 (-1.5 to 4.2) 0.35 0.35 -1.0 (-2.6 to 0.49) 0.18 0.27
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0095, R2c: 0.8952

alpha_avg_power R2m: 0.0034, R2c: 0.9348

beta_avg_power R2m: 0.0065, R2c: 0.9602

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.14 (-0.09 to 0.37) 0.24 0.36 3.2 (2.5 to 4.0) <0.001 <0.001 3.1 (2.6 to 3.6) <0.001 <0.001
speed_cond_num 0.09 (-0.02 to 0.20) 0.10 0.29 -0.43 (-0.67 to -0.19) <0.001 <0.001 -0.38 (-0.52 to -0.24) <0.001 <0.001
mean_APexc_COV 0.00 (-0.01 to 0.01) 0.52 0.52 0.00 (-0.01 to 0.02) 0.64 0.64 0.00 (-0.01 to 0.01) 0.40 0.40
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0024, R2c: 0.8238

alpha_avg_power R2m: 0.0027, R2c: 0.9515

beta_avg_power R2m: 0.0042, R2c: 0.9631

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.03 (-0.23 to 0.29) 0.83 0.83 2.6 (1.9 to 3.4) <0.001 <0.001 2.8 (2.4 to 3.3) <0.001 <0.001
speed_cond_num 0.16 (0.02 to 0.31) 0.029 0.086 -0.11 (-0.43 to 0.21) 0.51 0.51 -0.29 (-0.48 to -0.10) 0.003 0.004
mean_APexc_mean 2.5 (-0.65 to 5.7) 0.12 0.18 11 (3.5 to 18) 0.003 0.005 2.3 (-1.9 to 6.5) 0.28 0.28
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.53 (NA to NA)

0.31 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0053, R2c: 0.823

alpha_avg_power R2m: 0.0062, R2c: 0.954

beta_avg_power R2m: 0.0042, R2c: 0.9633

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.09 (-0.09 to 0.26) 0.32 0.48 3.1 (2.4 to 3.7) <0.001 <0.001 2.9 (2.5 to 3.3) <0.001 <0.001
speed_cond_num 0.02 (-0.10 to 0.14) 0.73 0.73 -0.59 (-0.85 to -0.33) <0.001 <0.001 -0.42 (-0.57 to -0.27) <0.001 <0.001
mean_MLexc_COV 0.01 (0.00 to 0.02) 0.029 0.086 0.03 (0.00 to 0.05) 0.020 0.020 0.01 (0.00 to 0.02) 0.12 0.12
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.53 (NA to NA)

0.31 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0086, R2c: 0.8256

alpha_avg_power R2m: 0.0047, R2c: 0.9537

beta_avg_power R2m: 0.0046, R2c: 0.9635

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.29 (-0.03 to 0.62) 0.079 0.24 3.0 (2.1 to 3.9) <0.001 <0.001 3.1 (2.5 to 3.7) <0.001 <0.001
speed_cond_num 0.02 (-0.18 to 0.23) 0.82 0.82 -0.23 (-0.71 to 0.24) 0.34 0.34 -0.42 (-0.70 to -0.14) 0.003 0.004
mean_MLexc_mean -0.71 (-2.9 to 1.5) 0.52 0.78 2.6 (-2.4 to 7.6) 0.31 0.34 -0.71 (-3.7 to 2.2) 0.64 0.64
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0025, R2c: 0.8232

alpha_avg_power R2m: 0.0033, R2c: 0.9518

beta_avg_power R2m: 0.004, R2c: 0.9626

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.03 (-0.29 to 0.35) 0.87 0.87 2.5 (1.6 to 3.4) <0.001 <0.001 3.1 (2.6 to 3.7) <0.001 <0.001
speed_cond_num 0.18 (-0.02 to 0.38) 0.070 0.21 0.04 (-0.40 to 0.48) 0.86 0.86 -0.44 (-0.70 to -0.18) <0.001 0.001
mean_StepDur 0.14 (-0.09 to 0.36) 0.24 0.36 0.66 (0.15 to 1.2) 0.011 0.016 -0.11 (-0.41 to 0.19) 0.47 0.47
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0034, R2c: 0.8216

alpha_avg_power R2m: 0.005, R2c: 0.953

beta_avg_power R2m: 0.004, R2c: 0.9625

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.05 (-0.18 to 0.28) 0.65 0.65 3.1 (2.3 to 3.8) <0.001 <0.001 3.1 (2.6 to 3.5) <0.001 <0.001
speed_cond_num 0.17 (0.02 to 0.33) 0.028 0.084 -0.28 (-0.63 to 0.06) 0.11 0.16 -0.42 (-0.62 to -0.22) <0.001 <0.001
mean_StepDur_cov 0.02 (0.00 to 0.04) 0.12 0.18 0.03 (-0.02 to 0.08) 0.20 0.20 -0.01 (-0.04 to 0.02) 0.47 0.47
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0042, R2c: 0.8249

alpha_avg_power R2m: 0.0031, R2c: 0.9522

beta_avg_power R2m: 0.004, R2c: 0.9626

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.13 (-0.18 to 0.45) 0.41 0.62 3.5 (2.7 to 4.4) <0.001 <0.001 3.2 (2.6 to 3.7) <0.001 <0.001
speed_cond_num 0.13 (-0.09 to 0.34) 0.25 0.62 -0.60 (-1.1 to -0.11) 0.016 0.024 -0.49 (-0.77 to -0.21) <0.001 0.001
mean_UDexc_COV 0.00 (-0.01 to 0.01) 0.65 0.65 -0.01 (-0.04 to 0.02) 0.50 0.50 -0.01 (-0.02 to 0.01) 0.32 0.32
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0018, R2c: 0.823

alpha_avg_power R2m: 0.0028, R2c: 0.9512

beta_avg_power R2m: 0.0041, R2c: 0.9629

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.13 (-0.03 to 0.29) 0.12 0.18 3.3 (2.7 to 3.9) <0.001 <0.001 3.0 (2.6 to 3.4) <0.001 <0.001
speed_cond_num -0.18 (-0.45 to 0.09) 0.20 0.20 -0.48 (-1.1 to 0.15) 0.14 0.20 -0.25 (-0.61 to 0.12) 0.19 0.28
mean_UDexc_mean 9.7 (0.35 to 19) 0.042 0.13 1.1 (-20 to 23) 0.92 0.92 -4.3 (-17 to 8.3) 0.50 0.50
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0091, R2c: 0.8252

alpha_avg_power R2m: 0.0026, R2c: 0.9514

beta_avg_power R2m: 0.0041, R2c: 0.9625

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.07 (-0.22 to 0.35) 0.66 0.66 2.6 (1.8 to 3.4) <0.001 <0.001 3.1 (2.6 to 3.6) <0.001 <0.001
speed_cond_num 0.17 (-0.03 to 0.37) 0.090 0.27 0.06 (-0.37 to 0.50) 0.78 0.78 -0.45 (-0.70 to -0.19) <0.001 0.001
mean_StanceDur 0.07 (-0.06 to 0.20) 0.30 0.45 0.41 (0.11 to 0.70) 0.007 0.010 -0.07 (-0.24 to 0.11) 0.46 0.46
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0028, R2c: 0.8216

alpha_avg_power R2m: 0.0049, R2c: 0.9532

beta_avg_power R2m: 0.004, R2c: 0.9625

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.03 (-0.29 to 0.34) 0.88 0.88 2.5 (1.6 to 3.4) <0.001 <0.001 3.1 (2.6 to 3.7) <0.001 <0.001
speed_cond_num 0.18 (-0.01 to 0.38) 0.069 0.21 0.04 (-0.40 to 0.48) 0.85 0.85 -0.44 (-0.70 to -0.18) <0.001 0.001
mean_GaitCycleDur 0.07 (-0.04 to 0.18) 0.24 0.35 0.33 (0.08 to 0.58) 0.010 0.015 -0.05 (-0.20 to 0.10) 0.49 0.49
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0034, R2c: 0.8216

alpha_avg_power R2m: 0.005, R2c: 0.953

beta_avg_power R2m: 0.004, R2c: 0.9625

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.19 (0.04 to 0.33) 0.011 0.032 3.3 (2.8 to 3.9) <0.001 <0.001 3.0 (2.6 to 3.4) <0.001 <0.001
speed_cond_num -0.17 (-0.54 to 0.19) 0.35 0.35 0.11 (-0.73 to 0.95) 0.81 0.81 0.09 (-0.40 to 0.58) 0.72 0.72
mean_PeakUpDownVel_mean 0.68 (-0.25 to 1.6) 0.15 0.23 -1.5 (-3.6 to 0.67) 0.18 0.27 -1.2 (-2.4 to 0.05) 0.059 0.089
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.31 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8219

alpha_avg_power R2m: 0.0036, R2c: 0.9517

beta_avg_power R2m: 0.0055, R2c: 0.9628

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.27 (0.02 to 0.52) 0.037 0.055 3.8 (3.1 to 4.5) <0.001 <0.001 2.6 (2.2 to 2.9) <0.001 <0.001
speed_cond_num 0.18 (0.08 to 0.27) <0.001 0.001 -0.18 (-0.44 to 0.07) 0.16 0.24 -0.17 (-0.30 to -0.04) 0.013 0.019
mean_APexc_COV 0.00 (0.00 to 0.01) 0.19 0.19 0.00 (-0.02 to 0.02) 0.90 0.90 0.00 (0.00 to 0.01) 0.35 0.35
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0037, R2c: 0.9351

alpha_avg_power R2m: 4e-04, R2c: 0.948

beta_avg_power R2m: 0.002, R2c: 0.9516

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.28 (0.00 to 0.56) 0.049 0.074 3.6 (2.8 to 4.4) <0.001 <0.001 2.6 (2.1 to 3.0) <0.001 <0.001
speed_cond_num 0.20 (0.07 to 0.33) 0.003 0.009 -0.07 (-0.42 to 0.29) 0.71 0.71 -0.14 (-0.32 to 0.04) 0.13 0.19
mean_APexc_mean 1.4 (-1.4 to 4.2) 0.33 0.33 3.6 (-4.0 to 11) 0.35 0.53 1.4 (-2.4 to 5.3) 0.46 0.46
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0031, R2c: 0.9346

alpha_avg_power R2m: 8e-04, R2c: 0.9485

beta_avg_power R2m: 0.0017, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.36 (0.14 to 0.57) 0.001 0.003 3.8 (3.2 to 4.5) <0.001 <0.001 2.7 (2.3 to 3.0) <0.001 <0.001
speed_cond_num 0.14 (0.04 to 0.25) 0.007 0.010 -0.19 (-0.46 to 0.09) 0.18 0.28 -0.18 (-0.32 to -0.04) 0.013 0.020
mean_MLexc_COV 0.00 (-0.01 to 0.01) 0.67 0.67 0.00 (-0.02 to 0.02) 0.97 0.97 0.00 (-0.01 to 0.01) 0.75 0.75
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0026, R2c: 0.9341

alpha_avg_power R2m: 4e-04, R2c: 0.948

beta_avg_power R2m: 0.0016, R2c: 0.9516

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.54 (0.21 to 0.88) 0.002 0.005 3.7 (2.7 to 4.6) <0.001 <0.001 2.4 (1.9 to 2.9) <0.001 <0.001
speed_cond_num 0.05 (-0.14 to 0.24) 0.61 0.61 -0.08 (-0.60 to 0.43) 0.75 0.75 -0.04 (-0.30 to 0.22) 0.74 0.74
mean_MLexc_mean -1.2 (-3.2 to 0.75) 0.23 0.34 1.2 (-4.0 to 6.5) 0.64 0.75 1.7 (-0.99 to 4.4) 0.22 0.33
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0036, R2c: 0.9347

alpha_avg_power R2m: 6e-04, R2c: 0.9483

beta_avg_power R2m: 0.0023, R2c: 0.9528

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.38 (0.06 to 0.70) 0.021 0.064 3.7 (2.7 to 4.6) <0.001 <0.001 2.6 (2.2 to 3.1) <0.001 <0.001
speed_cond_num 0.15 (-0.03 to 0.33) 0.093 0.14 -0.08 (-0.56 to 0.39) 0.73 0.73 -0.18 (-0.42 to 0.06) 0.14 0.21
mean_StepDur 0.00 (-0.20 to 0.20) 0.97 0.97 0.14 (-0.40 to 0.68) 0.61 0.73 0.01 (-0.26 to 0.28) 0.94 0.94
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0025, R2c: 0.9342

alpha_avg_power R2m: 5e-04, R2c: 0.9481

beta_avg_power R2m: 0.0015, R2c: 0.9516

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.37 (0.12 to 0.63) 0.003 0.010 4.2 (3.5 to 4.9) <0.001 <0.001 2.7 (2.3 to 3.1) <0.001 <0.001
speed_cond_num 0.15 (0.02 to 0.29) 0.024 0.036 -0.41 (-0.77 to -0.06) 0.024 0.035 -0.20 (-0.38 to -0.02) 0.032 0.048
mean_StepDur_cov 0.00 (-0.02 to 0.02)
0.99
0.99
-0.04 (-0.08 to 0.01) 0.10 0.10 0.00 (-0.03 to 0.02) 0.88 0.88
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0025, R2c: 0.9342

alpha_avg_power R2m: 0.0013, R2c: 0.9483

beta_avg_power R2m: 0.0015, R2c: 0.9515

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.22 (-0.12 to 0.55) 0.20 0.24 4.1 (3.1 to 5.0) <0.001 <0.001 2.5 (2.1 to 3.0) <0.001 <0.001
speed_cond_num 0.26 (0.06 to 0.47) 0.011 0.034 -0.35 (-0.90 to 0.20) 0.21 0.32 -0.11 (-0.39 to 0.17) 0.45 0.53
mean_UDexc_COV 0.01 (0.00 to 0.02) 0.24 0.24 -0.01 (-0.04 to 0.02) 0.53 0.53 0.00 (-0.01 to 0.02) 0.53 0.53
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0032, R2c: 0.9348

alpha_avg_power R2m: 6e-04, R2c: 0.9479

beta_avg_power R2m: 0.0017, R2c: 0.9518

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.30 (0.09 to 0.51) 0.005 0.016 3.8 (3.2 to 4.5) <0.001 <0.001 2.7 (2.4 to 3.0) <0.001 <0.001
speed_cond_num -0.14 (-0.39 to 0.12) 0.29 0.29 -0.22 (-0.92 to 0.48) 0.54 0.81 0.01 (-0.34 to 0.37) 0.94 0.94
mean_UDexc_mean 11 (1.9 to 19) 0.018 0.026 1.1 (-23 to 25) 0.93 0.93 -7.4 (-20 to 4.8) 0.24 0.35
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0068, R2c: 0.936

alpha_avg_power R2m: 4e-04, R2c: 0.948

beta_avg_power R2m: 0.0024, R2c: 0.9512

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.39 (0.10 to 0.69) 0.010 0.029 3.6 (2.8 to 4.5) <0.001 <0.001 2.6 (2.2 to 3.0) <0.001 <0.001
speed_cond_num 0.14 (-0.04 to 0.32) 0.12 0.18 -0.06 (-0.53 to 0.41) 0.80 0.80 -0.16 (-0.40 to 0.08) 0.20 0.31
mean_StanceDur -0.01 (-0.13 to 0.11) 0.86 0.86 0.10 (-0.21 to 0.42) 0.53 0.79 0.03 (-0.13 to 0.19) 0.75 0.75
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0026, R2c: 0.9342

alpha_avg_power R2m: 6e-04, R2c: 0.9481

beta_avg_power R2m: 0.0015, R2c: 0.9517

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.38 (0.06 to 0.70) 0.021 0.064 3.7 (2.7 to 4.6) <0.001 <0.001 2.6 (2.2 to 3.1) <0.001 <0.001
speed_cond_num 0.15 (-0.03 to 0.33) 0.093 0.14 -0.09 (-0.56 to 0.39) 0.72 0.72 -0.18 (-0.42 to 0.06) 0.14 0.21
mean_GaitCycleDur 0.00 (-0.10 to 0.10) 0.97 0.97 0.07 (-0.20 to 0.34) 0.61 0.72 0.01 (-0.13 to 0.14) 0.93 0.93
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0025, R2c: 0.9342

alpha_avg_power R2m: 5e-04, R2c: 0.9481

beta_avg_power R2m: 0.0015, R2c: 0.9516

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.36 (0.16 to 0.56) <0.001 0.001 3.8 (3.2 to 4.4) <0.001 <0.001 2.7 (2.4 to 3.0) <0.001 <0.001
speed_cond_num -0.27 (-0.61 to 0.07) 0.12 0.12 0.15 (-0.78 to 1.1) 0.76 0.76 0.20 (-0.27 to 0.67) 0.39 0.39
mean_PeakUpDownVel_mean 1.1 (0.25 to 2.0) 0.011 0.017 -0.88 (-3.2 to 1.5) 0.46 0.69 -1.0 (-2.2 to 0.16) 0.090 0.13
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.21 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0071, R2c: 0.9367

alpha_avg_power R2m: 8e-04, R2c: 0.948

beta_avg_power R2m: 0.0031, R2c: 0.9514

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.56 (0.23 to 0.89) <0.001 0.001 1.4 (0.84 to 1.9) <0.001 <0.001 1.4 (1.1 to 1.8) <0.001 <0.001
speed_cond_num 0.36 (0.22 to 0.49) <0.001 <0.001 -0.17 (-0.42 to 0.08) 0.18 0.27 -0.25 (-0.37 to -0.14) <0.001 <0.001
mean_APexc_COV 0.00 (-0.01 to 0.01) 0.61 0.61 0.01 (-0.01 to 0.02) 0.45 0.45 0.00 (-0.01 to 0.00) 0.35 0.35
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0128, R2c: 0.912

alpha_avg_power R2m: 0.0029, R2c: 0.856

beta_avg_power R2m: 0.004, R2c: 0.9535

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.51 (0.17 to 0.86) 0.004 0.006 0.80 (0.22 to 1.4) 0.007 0.010 1.0 (0.66 to 1.4) <0.001 <0.001
speed_cond_num 0.36 (0.20 to 0.53) <0.001 <0.001 0.12 (-0.18 to 0.42) 0.44 0.44 -0.11 (-0.25 to 0.04) 0.14 0.14
mean_APexc_mean -0.18 (-4.1 to 3.8) 0.93 0.93 12 (4.7 to 19) 0.001 0.004 4.7 (1.2 to 8.2) 0.008 0.012
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.50 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0123, R2c: 0.9128

alpha_avg_power R2m: 0.016, R2c: 0.8656

beta_avg_power R2m: 0.0068, R2c: 0.9548

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.54 (0.27 to 0.80) <0.001 <0.001 1.3 (0.88 to 1.7) <0.001 <0.001 1.3 (0.97 to 1.6) <0.001 <0.001
speed_cond_num 0.39 (0.25 to 0.54) <0.001 <0.001 -0.37 (-0.64 to -0.10) 0.007 0.011 -0.26 (-0.39 to -0.14) <0.001 <0.001
mean_MLexc_COV 0.00 (-0.01 to 0.01) 0.52 0.52 0.02 (0.00 to 0.05) 0.016 0.016 0.00 (-0.01 to 0.01) 0.39 0.39
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0126, R2c: 0.913

alpha_avg_power R2m: 0.0074, R2c: 0.8629

beta_avg_power R2m: 0.0037, R2c: 0.9528

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.37 (-0.07 to 0.81) 0.10 0.14 0.80 (0.04 to 1.6) 0.040 0.061 0.94 (0.50 to 1.4) <0.001 <0.001
speed_cond_num 0.45 (0.19 to 0.71) <0.001 0.002 0.26 (-0.22 to 0.74) 0.29 0.29 0.00 (-0.23 to 0.24) 0.97 0.97
mean_MLexc_mean 0.92 (-1.7 to 3.6) 0.50 0.50 5.4 (0.52 to 10) 0.030 0.061 2.8 (0.42 to 5.1) 0.021 0.031
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0129, R2c: 0.9132

alpha_avg_power R2m: 0.0109, R2c: 0.8592

beta_avg_power R2m: 0.0071, R2c: 0.9538

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.59 (0.18 to 1.0) 0.005 0.010 0.86 (0.14 to 1.6) 0.019 0.048 1.1 (0.71 to 1.5) <0.001 <0.001
speed_cond_num 0.32 (0.09 to 0.54) 0.007 0.010 0.18 (-0.24 to 0.61) 0.40 0.40 -0.12 (-0.33 to 0.08) 0.23 0.23
mean_StepDur -0.08 (-0.36 to 0.20) 0.59 0.59 0.57 (0.05 to 1.1) 0.032 0.048 0.17 (-0.09 to 0.42) 0.20 0.23
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0125, R2c: 0.9137

alpha_avg_power R2m: 0.0075, R2c: 0.8634

beta_avg_power R2m: 0.0042, R2c: 0.9535

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.54 (0.18 to 0.91) 0.003 0.005 1.4 (0.74 to 2.0) <0.001 <0.001 1.4 (1.0 to 1.8) <0.001 <0.001
speed_cond_num 0.34 (0.14 to 0.55) 0.001 0.003 -0.10 (-0.49 to 0.29) 0.61 0.61 -0.30 (-0.48 to -0.11) 0.001 0.002
mean_StepDur_cov -0.01 (-0.04 to 0.03) 0.75 0.75 0.02 (-0.04 to 0.08) 0.50 0.61 -0.01 (-0.04 to 0.02) 0.40 0.40
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0124, R2c: 0.9128

alpha_avg_power R2m: 0.0023, R2c: 0.8581

beta_avg_power R2m: 0.0038, R2c: 0.9528

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.53 (0.06 to 1.0) 0.027 0.041 1.8 (0.93 to 2.6) <0.001 <0.001 1.6 (1.1 to 2.1) <0.001 <0.001
speed_cond_num 0.35 (0.05 to 0.65) 0.024 0.041 -0.36 (-0.92 to 0.21) 0.21 0.32 -0.42 (-0.69 to -0.15) 0.002 0.003
mean_UDexc_COV 0.00 (-0.02 to 0.02) 0.88 0.88 -0.01 (-0.04 to 0.02) 0.55 0.55 -0.01 (-0.03 to 0.00) 0.14 0.14
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0124, R2c: 0.9126

alpha_avg_power R2m: 0.0022, R2c: 0.8568

beta_avg_power R2m: 0.0045, R2c: 0.9528

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.48 (0.23 to 0.74) <0.001 <0.001 1.4 (0.97 to 1.7) <0.001 <0.001 1.3 (0.98 to 1.6) <0.001 <0.001
speed_cond_num 0.30 (-0.07 to 0.67) 0.12 0.18 -1.1 (-1.7 to -0.37) 0.002 0.004 -0.41 (-0.75 to -0.08) 0.015 0.022
mean_UDexc_mean 2.5 (-9.6 to 15) 0.68 0.68 30 (7.4 to 52) 0.009 0.009 6.2 (-4.7 to 17) 0.26 0.26
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.2 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0125, R2c: 0.9129

alpha_avg_power R2m: 0.0164, R2c: 0.8552

beta_avg_power R2m: 0.0044, R2c: 0.9526

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.56 (0.18 to 0.94) 0.004 0.008 0.89 (0.24 to 1.6) 0.008 0.023 1.1 (0.75 to 1.5) <0.001 <0.001
speed_cond_num 0.33 (0.10 to 0.56) 0.005 0.008 0.22 (-0.21 to 0.64) 0.31 0.31 -0.12 (-0.32 to 0.09) 0.25 0.25
mean_StanceDur -0.03 (-0.20 to 0.13) 0.68 0.68 0.37 (0.06 to 0.68) 0.020 0.030 0.10 (-0.05 to 0.25) 0.18 0.25
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0124, R2c: 0.9133

alpha_avg_power R2m: 0.0076, R2c: 0.8633

beta_avg_power R2m: 0.0041, R2c: 0.9534

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.59 (0.18 to 1.0) 0.005 0.010 0.86 (0.14 to 1.6) 0.020 0.047 1.1 (0.70 to 1.5) <0.001 <0.001
speed_cond_num 0.32 (0.09 to 0.54) 0.007 0.010 0.18 (-0.24 to 0.61) 0.40 0.40 -0.12 (-0.33 to 0.08) 0.24 0.24
mean_GaitCycleDur -0.04 (-0.18 to 0.10) 0.60 0.60 0.29 (0.03 to 0.55) 0.032 0.047 0.08 (-0.04 to 0.21) 0.19 0.24
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0125, R2c: 0.9137

alpha_avg_power R2m: 0.0075, R2c: 0.8634

beta_avg_power R2m: 0.0042, R2c: 0.9535

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.51 (0.27 to 0.75) <0.001 <0.001 1.5 (1.2 to 1.9) <0.001 <0.001 1.3 (1.0 to 1.6) <0.001 <0.001
speed_cond_num 0.68 (0.21 to 1.2) 0.005 0.007 -0.23 (-1.1 to 0.65) 0.61 0.92 -0.12 (-0.55 to 0.30) 0.57 0.59
mean_PeakUpDownVel_mean -0.80 (-2.0 to 0.36) 0.18 0.18 0.06 (-2.1 to 2.2) 0.96 0.96 -0.28 (-1.3 to 0.76) 0.59 0.59
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0148, R2c: 0.9131

alpha_avg_power R2m: 0.0017, R2c: 0.8575

beta_avg_power R2m: 0.0037, R2c: 0.953

C) LME EEG ~ 1+kin

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.77 (0.46 to 1.1) <0.001 <0.001 1.2 (0.61 to 1.8) <0.001 <0.001 2.0 (1.5 to 2.5) <0.001 <0.001
mean_APexc_COV -0.01 (-0.02 to 0.00) 0.23 0.23 0.01 (-0.01 to 0.02) 0.47 0.47 0.01 (0.00 to 0.02) 0.042 0.042
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.34 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.77 (0.52 to 1.0) <0.001 <0.001 1.1 (0.55 to 1.7) <0.001 <0.001 2.0 (1.5 to 2.5) <0.001 <0.001
mean_APexc_mean -3.1 (-6.3 to 0.09) 0.057 0.057 5.0 (0.62 to 9.3) 0.025 0.025 4.3 (1.4 to 7.2) 0.003 0.003
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.34 (NA to NA)

0.45 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.49 (0.24 to 0.75) <0.001 <0.001 1.3 (0.79 to 1.9) <0.001 <0.001 2.3 (1.8 to 2.8) <0.001 <0.001
mean_MLexc_COV 0.01 (0.00 to 0.02) 0.11 0.11 0.00 (-0.02 to 0.01) 0.93 0.93 -0.01 (-0.02 to 0.00) 0.091 0.091
subj_char.sd__(Intercept) 0.76 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.34 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.87 (0.64 to 1.1) <0.001 <0.001 1.3 (0.72 to 1.8) <0.001 <0.001 2.0 (1.5 to 2.5) <0.001 <0.001
mean_MLexc_mean -2.9 (-4.3 to -1.4) <0.001 <0.001 0.99 (-1.0 to 3.0) 0.34 0.34 2.1 (0.77 to 3.4) 0.002 0.002
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.32 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.82 (0.58 to 1.1) <0.001 <0.001 1.2 (0.67 to 1.8) <0.001 <0.001 2.0 (1.5 to 2.5) <0.001 <0.001
mean_StepDur -0.25 (-0.42 to -0.08) 0.004 0.004 0.15 (-0.08 to 0.39) 0.20 0.20 0.20 (0.05 to 0.36) 0.011 0.011
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.76 (0.53 to 0.99) <0.001 <0.001 1.3 (0.73 to 1.8) <0.001 <0.001 2.1 (1.6 to 2.6) <0.001 <0.001
mean_StepDur_cov -0.03 (-0.05 to 0.00) 0.016 0.016 0.01 (-0.01 to 0.04) 0.34 0.34 0.02 (0.00 to 0.04) 0.029 0.029
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.82 (0.59 to 1.0) <0.001 <0.001 1.3 (0.77 to 1.8) <0.001 <0.001 2.1 (1.6 to 2.5) <0.001 <0.001
mean_UDexc_COV -0.01 (-0.02 to -0.01) <0.001 <0.001 0.00 (-0.01 to 0.01) 0.59 0.59 0.01 (0.00 to 0.02) 0.004 0.004
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.41 (0.18 to 0.65) <0.001 <0.001 1.4 (0.82 to 1.9) <0.001 <0.001 2.4 (1.9 to 2.9) <0.001 <0.001
mean_UDexc_mean 8.8 (3.7 to 14) <0.001 <0.001 -0.67 (-7.8 to 6.4) 0.85 0.85 -7.3 (-12 to -2.7) 0.002 0.002
subj_char.sd__(Intercept) 0.78 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.79 (0.56 to 1.0) <0.001 <0.001 1.2 (0.70 to 1.8) <0.001 <0.001 2.1 (1.6 to 2.6) <0.001 <0.001
mean_StanceDur -0.15 (-0.25 to -0.05) 0.004 0.004 0.10 (-0.04 to 0.24) 0.16 0.16 0.12 (0.03 to 0.22) 0.009 0.009
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.82 (0.58 to 1.1) <0.001 <0.001 1.2 (0.67 to 1.8) <0.001 <0.001 2.0 (1.5 to 2.5) <0.001 <0.001
mean_GaitCycleDur -0.13 (-0.21 to -0.04) 0.004 0.004 0.08 (-0.04 to 0.20) 0.20 0.20 0.10 (0.02 to 0.18) 0.012 0.012
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.46 (0.24 to 0.68) <0.001 <0.001 1.4 (0.84 to 1.9) <0.001 <0.001 2.3 (1.9 to 2.8) <0.001 <0.001
mean_PeakUpDownVel_mean 0.66 (0.28 to 1.0) <0.001 <0.001 -0.12 (-0.64 to 0.40) 0.65 0.65 -0.53 (-0.87 to -0.19) 0.002 0.002
subj_char.sd__(Intercept) 0.77 (NA to NA)

2.0 (NA to NA)

1.9 (NA to NA)

Residual.sd__Observation 0.33 (NA to NA)

0.46 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.19 (-0.03 to 0.41) 0.087 0.17 2.0 (1.2 to 2.7) <0.001 <0.001 2.8 (2.3 to 3.3) <0.001 <0.001
mean_APexc_COV 0.00 (-0.01 to 0.01) 0.60 0.60 0.02 (0.00 to 0.04) 0.047 0.047 0.01 (0.00 to 0.03) 0.049 0.049
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.70 (NA to NA)

0.40 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.38 (0.19 to 0.57) <0.001 <0.001 2.0 (1.3 to 2.7) <0.001 <0.001 2.7 (2.2 to 3.1) <0.001 <0.001
mean_APexc_mean -3.0 (-5.2 to -0.86) 0.006 0.006 9.5 (3.1 to 16) 0.004 0.004 7.4 (3.8 to 11) <0.001 <0.001
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.39 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) -0.04 (-0.23 to 0.16) 0.70 0.70 2.4 (1.7 to 3.2) <0.001 <0.001 3.3 (2.8 to 3.8) <0.001 <0.001
mean_MLexc_COV 0.02 (0.01 to 0.03) <0.001 <0.001 0.00 (-0.03 to 0.02) 0.91 0.91 -0.02 (-0.03 to -0.01) 0.006 0.006
subj_char.sd__(Intercept) 0.65 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.71 (NA to NA)

0.40 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.43 (0.25 to 0.61) <0.001 <0.001 1.9 (1.3 to 2.6) <0.001 <0.001 2.6 (2.2 to 3.1) <0.001 <0.001
mean_MLexc_mean -2.3 (-3.3 to -1.3) <0.001 <0.001 5.5 (2.5 to 8.5) <0.001 <0.001 4.9 (3.2 to 6.6) <0.001 <0.001
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.68 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.41 (0.23 to 0.60) <0.001 <0.001 2.0 (1.3 to 2.6) <0.001 <0.001 2.6 (2.2 to 3.1) <0.001 <0.001
mean_StepDur -0.22 (-0.34 to -0.11) <0.001 <0.001 0.57 (0.23 to 0.92) <0.001 <0.001 0.50 (0.31 to 0.69) <0.001 <0.001
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.38 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.34 (0.17 to 0.52) <0.001 <0.001 2.1 (1.5 to 2.8) <0.001 <0.001 2.8 (2.3 to 3.2) <0.001 <0.001
mean_StepDur_cov -0.02 (-0.03 to -0.01) 0.003 0.003 0.06 (0.02 to 0.10) 0.007 0.007 0.04 (0.02 to 0.07) <0.001 <0.001
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.39 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.36 (0.18 to 0.54) <0.001 <0.001 2.1 (1.4 to 2.8) <0.001 <0.001 2.7 (2.3 to 3.2) <0.001 <0.001
mean_UDexc_COV -0.01 (-0.02 to 0.00) 0.001 0.001 0.02 (0.01 to 0.04) 0.009 0.009 0.02 (0.02 to 0.03) <0.001 <0.001
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.38 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.06 (-0.12 to 0.24) 0.51 0.51 2.7 (2.1 to 3.4) <0.001 <0.001 3.5 (3.0 to 3.9) <0.001 <0.001
mean_UDexc_mean 7.2 (3.8 to 11) <0.001 <0.001 -13 (-24 to -3.0) 0.011 0.011 -18 (-23 to -12) <0.001 <0.001
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.37 (0.20 to 0.55) <0.001 <0.001 2.0 (1.4 to 2.7) <0.001 <0.001 2.7 (2.3 to 3.2) <0.001 <0.001
mean_StanceDur -0.13 (-0.20 to -0.06) <0.001 <0.001 0.35 (0.15 to 0.56) <0.001 <0.001 0.30 (0.19 to 0.41) <0.001 <0.001
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.38 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.41 (0.23 to 0.60) <0.001 <0.001 2.0 (1.3 to 2.6) <0.001 <0.001 2.6 (2.2 to 3.1) <0.001 <0.001
mean_GaitCycleDur -0.11 (-0.17 to -0.05) <0.001 <0.001 0.29 (0.12 to 0.46) <0.001 <0.001 0.25 (0.16 to 0.34) <0.001 <0.001
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.38 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.08 (-0.09 to 0.26) 0.34 0.34 2.7 (2.0 to 3.4) <0.001 <0.001 3.4 (2.9 to 3.8) <0.001 <0.001
mean_PeakUpDownVel_mean 0.60 (0.35 to 0.85) <0.001 <0.001 -1.1 (-1.9 to -0.36) 0.004 0.004 -1.3 (-1.7 to -0.89) <0.001 <0.001
subj_char.sd__(Intercept) 0.66 (NA to NA)

2.6 (NA to NA)

1.8 (NA to NA)

Residual.sd__Observation 0.23 (NA to NA)

0.69 (NA to NA)

0.37 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.23 (0.03 to 0.43) 0.023 0.045 2.8 (2.1 to 3.4) <0.001 <0.001 2.7 (2.2 to 3.1) <0.001 <0.001
mean_APexc_COV 0.00 (-0.01 to 0.01) 0.85 0.85 0.01 (0.00 to 0.03) 0.14 0.14 0.00 (-0.01 to 0.01) 0.48 0.48
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.56 (NA to NA)

0.34 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.25 (0.08 to 0.41) 0.004 0.008 2.5 (1.8 to 3.1) <0.001 <0.001 2.4 (2.0 to 2.9) <0.001 <0.001
mean_APexc_mean 0.05 (-2.2 to 2.3) 0.97 0.97 12 (7.3 to 17) <0.001 <0.001 6.8 (3.8 to 9.8) <0.001 <0.001
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.09 (-0.08 to 0.26) 0.31 0.31 3.0 (2.4 to 3.7) <0.001 <0.001 2.9 (2.4 to 3.3) <0.001 <0.001
mean_MLexc_COV 0.01 (0.00 to 0.02) 0.008 0.015 0.00 (-0.02 to 0.02) 0.86 0.86 -0.01 (-0.02 to 0.01) 0.27 0.27
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.56 (NA to NA)

0.34 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.33 (0.17 to 0.48) <0.001 <0.001 2.6 (2.0 to 3.3) <0.001 <0.001 2.5 (2.1 to 2.9) <0.001 <0.001
mean_MLexc_mean -0.92 (-2.0 to 0.17) 0.10 0.10 4.8 (2.3 to 7.2) <0.001 <0.001 3.2 (1.7 to 4.7) <0.001 <0.001
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.28 (0.12 to 0.44) <0.001 0.001 2.5 (1.9 to 3.2) <0.001 <0.001 2.5 (2.1 to 2.9) <0.001 <0.001
mean_StepDur -0.04 (-0.16 to 0.08) 0.50 0.50 0.62 (0.36 to 0.89) <0.001 <0.001 0.33 (0.17 to 0.49) <0.001 <0.001
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.25 (0.10 to 0.40) <0.001 0.002 2.7 (2.1 to 3.3) <0.001 <0.001 2.6 (2.2 to 3.0) <0.001 <0.001
mean_StepDur_cov 0.00 (-0.01 to 0.01) 0.94 0.94 0.06 (0.03 to 0.09) <0.001 <0.001 0.03 (0.01 to 0.05) <0.001 <0.001
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.54 (NA to NA)

0.33 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.29 (0.14 to 0.44) <0.001 <0.001 2.8 (2.2 to 3.4) <0.001 <0.001 2.6 (2.2 to 2.9) <0.001 <0.001
mean_UDexc_COV 0.00 (-0.01 to 0.00) 0.26 0.26 0.02 (0.01 to 0.03) 0.003 0.003 0.02 (0.01 to 0.02) <0.001 <0.001
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.55 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.15 (0.00 to 0.31) 0.054 0.054 3.4 (2.8 to 4.0) <0.001 <0.001 3.1 (2.7 to 3.5) <0.001 <0.001
mean_UDexc_mean 4.0 (0.44 to 7.5) 0.028 0.054 -14 (-22 to -6.2) <0.001 <0.001 -12 (-17 to -7.6) <0.001 <0.001
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.28 (0.13 to 0.43) <0.001 <0.001 2.6 (2.0 to 3.2) <0.001 <0.001 2.6 (2.2 to 3.0) <0.001 <0.001
mean_StanceDur -0.03 (-0.10 to 0.04) 0.45 0.45 0.37 (0.22 to 0.53) <0.001 <0.001 0.19 (0.10 to 0.29) <0.001 <0.001
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.28 (0.12 to 0.44) <0.001 0.001 2.5 (1.9 to 3.2) <0.001 <0.001 2.5 (2.1 to 2.9) <0.001 <0.001
mean_GaitCycleDur -0.02 (-0.08 to 0.04) 0.50 0.50 0.31 (0.18 to 0.44) <0.001 <0.001 0.16 (0.09 to 0.24) <0.001 <0.001
subj_char.sd__(Intercept) 0.53 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.25 (NA to NA)

0.53 (NA to NA)

0.32 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.18 (0.04 to 0.33) 0.012 0.024 3.3 (2.8 to 3.9) <0.001 <0.001 3.0 (2.6 to 3.4) <0.001 <0.001
mean_PeakUpDownVel_mean 0.25 (-0.01 to 0.52) 0.059 0.059 -1.2 (-1.8 to -0.62) <0.001 <0.001 -0.98 (-1.3 to -0.64) <0.001 <0.001
subj_char.sd__(Intercept) 0.52 (NA to NA)

2.4 (NA to NA)

1.6 (NA to NA)

Residual.sd__Observation 0.24 (NA to NA)

0.54 (NA to NA)

0.31 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.47 (0.24 to 0.70) <0.001 <0.001 3.6 (2.9 to 4.3) <0.001 <0.001 2.4 (2.0 to 2.7) <0.001 <0.001
mean_APexc_COV 0.00 (-0.01 to 0.01) 0.95 0.95 0.01 (-0.01 to 0.02) 0.51 0.51 0.01 (0.00 to 0.02) 0.059 0.059
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.55 (0.34 to 0.77) <0.001 <0.001 3.5 (2.9 to 4.1) <0.001 <0.001 2.4 (2.0 to 2.7) <0.001 <0.001
mean_APexc_mean -1.7 (-3.7 to 0.23) 0.083 0.083 4.7 (-0.52 to 9.8) 0.078 0.078 3.6 (0.97 to 6.3) 0.007 0.007
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.37 (0.16 to 0.59) <0.001 0.001 3.8 (3.2 to 4.5) <0.001 <0.001 2.7 (2.3 to 3.0) <0.001 <0.001
mean_MLexc_COV 0.01 (0.00 to 0.01) 0.053 0.053 -0.01 (-0.03 to 0.01) 0.44 0.44 -0.01 (-0.02 to 0.00) 0.091 0.091
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.61 (0.40 to 0.82) <0.001 <0.001 3.5 (2.9 to 4.2) <0.001 <0.001 2.4 (2.0 to 2.7) <0.001 <0.001
mean_MLexc_mean -1.7 (-2.6 to -0.73) <0.001 <0.001 2.0 (-0.48 to 4.5) 0.11 0.11 2.1 (0.82 to 3.3) 0.001 0.001
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.59 (0.38 to 0.80) <0.001 <0.001 3.5 (2.9 to 4.2) <0.001 <0.001 2.4 (2.1 to 2.7) <0.001 <0.001
mean_StepDur -0.15 (-0.25 to -0.05) 0.004 0.004 0.22 (-0.05 to 0.50) 0.11 0.11 0.19 (0.05 to 0.33) 0.009 0.009
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.55 (0.35 to 0.75) <0.001 <0.001 3.7 (3.1 to 4.3) <0.001 <0.001 2.5 (2.1 to 2.8) <0.001 <0.001
mean_StepDur_cov -0.01 (-0.03 to 0.00) 0.016 0.016 0.00 (-0.03 to 0.03)
0.99
0.99
0.02 (0.00 to 0.03) 0.038 0.038
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.55 (0.35 to 0.76) <0.001 <0.001 3.6 (3.0 to 4.2) <0.001 <0.001 2.4 (2.1 to 2.7) <0.001 <0.001
mean_UDexc_COV -0.01 (-0.01 to 0.00) 0.015 0.015 0.01 (-0.01 to 0.02) 0.27 0.27 0.01 (0.00 to 0.02) 0.003 0.003
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.32 (0.11 to 0.52) 0.002 0.002 3.9 (3.2 to 4.5) <0.001 <0.001 2.7 (2.4 to 3.0) <0.001 <0.001
mean_UDexc_mean 6.2 (3.2 to 9.3) <0.001 <0.001 -6.0 (-14 to 2.3) 0.16 0.16 -7.0 (-11 to -2.7) 0.001 0.001
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.59 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.57 (0.37 to 0.77) <0.001 <0.001 3.6 (3.0 to 4.2) <0.001 <0.001 2.4 (2.1 to 2.7) <0.001 <0.001
mean_StanceDur -0.09 (-0.15 to -0.03) 0.003 0.003 0.14 (-0.03 to 0.30) 0.10 0.10 0.12 (0.03 to 0.20) 0.006 0.006
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.59 (0.38 to 0.80) <0.001 <0.001 3.5 (2.9 to 4.2) <0.001 <0.001 2.4 (2.1 to 2.7) <0.001 <0.001
mean_GaitCycleDur -0.07 (-0.13 to -0.02) 0.004 0.004 0.11 (-0.03 to 0.25) 0.11 0.11 0.09 (0.02 to 0.16) 0.009 0.009
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.36 (0.16 to 0.56) <0.001 <0.001 3.8 (3.2 to 4.5) <0.001 <0.001 2.7 (2.4 to 3.0) <0.001 <0.001
mean_PeakUpDownVel_mean 0.45 (0.23 to 0.68) <0.001 <0.001 -0.53 (-1.1 to 0.09) 0.093 0.093 -0.53 (-0.84 to -0.22) <0.001 <0.001
subj_char.sd__(Intercept) 0.82 (NA to NA)

2.5 (NA to NA)

1.3 (NA to NA)

Residual.sd__Observation 0.22 (NA to NA)

0.58 (NA to NA)

0.30 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.97 (0.67 to 1.3) <0.001 <0.001 1.2 (0.72 to 1.7) <0.001 <0.001 1.1 (0.79 to 1.5) <0.001 <0.001
mean_APexc_COV -0.01 (-0.02 to 0.00) 0.019 0.019 0.01 (-0.01 to 0.03) 0.20 0.20 0.00 (-0.01 to 0.01) 0.56 0.56
subj_char.sd__(Intercept) 0.86 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.30 (NA to NA)

0.52 (NA to NA)

0.25 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.0 (0.72 to 1.3) <0.001 <0.001 0.96 (0.54 to 1.4) <0.001 <0.001 0.88 (0.58 to 1.2) <0.001 <0.001
mean_APexc_mean -5.8 (-8.9 to -2.7) <0.001 <0.001 10 (4.6 to 16) <0.001 <0.001 6.4 (3.8 to 9.0) <0.001 <0.001
subj_char.sd__(Intercept) 0.90 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.29 (NA to NA)

0.50 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.57 (0.30 to 0.84) <0.001 <0.001 1.3 (0.85 to 1.7) <0.001 <0.001 1.3 (0.95 to 1.6) <0.001 <0.001
mean_MLexc_COV 0.01 (0.00 to 0.02) 0.029 0.029 0.01 (-0.01 to 0.03) 0.23 0.23 -0.01 (-0.01 to 0.00) 0.19 0.19
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.29 (NA to NA)

0.52 (NA to NA)

0.25 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.99 (0.74 to 1.2) <0.001 <0.001 1.2 (0.77 to 1.5) <0.001 <0.001 0.94 (0.65 to 1.2) <0.001 <0.001
mean_MLexc_mean -3.1 (-4.4 to -1.8) <0.001 <0.001 3.1 (0.71 to 5.4) 0.011 0.011 2.7 (1.6 to 3.8) <0.001 <0.001
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.0 (0.78 to 1.3) <0.001 <0.001 1.1 (0.72 to 1.5) <0.001 <0.001 0.95 (0.65 to 1.2) <0.001 <0.001
mean_StepDur -0.40 (-0.56 to -0.25) <0.001 <0.001 0.38 (0.10 to 0.67) 0.009 0.009 0.29 (0.16 to 0.43) <0.001 <0.001
subj_char.sd__(Intercept) 0.90 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.98 (0.73 to 1.2) <0.001 <0.001 1.2 (0.86 to 1.6) <0.001 <0.001 1.0 (0.75 to 1.3) <0.001 <0.001
mean_StepDur_cov -0.05 (-0.07 to -0.03) <0.001 <0.001 0.03 (0.00 to 0.07) 0.079 0.079 0.02 (0.01 to 0.04) 0.006 0.006
subj_char.sd__(Intercept) 0.89 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.52 (NA to NA)

0.25 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.0 (0.75 to 1.2) <0.001 <0.001 1.3 (0.92 to 1.7) <0.001 <0.001 1.0 (0.74 to 1.3) <0.001 <0.001
mean_UDexc_COV -0.02 (-0.03 to -0.01) <0.001 <0.001 0.01 (0.00 to 0.02) 0.20 0.20 0.01 (0.00 to 0.02) 0.002 0.002
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.52 (NA to NA)

0.25 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.45 (0.20 to 0.69) <0.001 <0.001 1.5 (1.1 to 1.9) <0.001 <0.001 1.3 (1.0 to 1.6) <0.001 <0.001
mean_UDexc_mean 12 (7.6 to 16) <0.001 <0.001 -2.8 (-11 to 5.0) 0.48 0.48 -6.6 (-10 to -2.9) <0.001 <0.001
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.27 (NA to NA)

0.52 (NA to NA)

0.25 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.98 (0.73 to 1.2) <0.001 <0.001 1.2 (0.79 to 1.5) <0.001 <0.001 0.99 (0.70 to 1.3) <0.001 <0.001
mean_StanceDur -0.24 (-0.33 to -0.14) <0.001 <0.001 0.23 (0.07 to 0.40) 0.007 0.007 0.17 (0.09 to 0.26) <0.001 <0.001
subj_char.sd__(Intercept) 0.90 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 1.0 (0.78 to 1.3) <0.001 <0.001 1.1 (0.72 to 1.5) <0.001 <0.001 0.95 (0.65 to 1.2) <0.001 <0.001
mean_GaitCycleDur -0.20 (-0.28 to -0.12) <0.001 <0.001 0.19 (0.05 to 0.33) 0.009 0.009 0.15 (0.08 to 0.21) <0.001 <0.001
subj_char.sd__(Intercept) 0.90 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.51 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic THETA ALPHA BETA
Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2 Beta (95% CI)1 p-value q-value2
(Intercept) 0.52 (0.28 to 0.76) <0.001 <0.001 1.5 (1.2 to 1.9) <0.001 <0.001 1.3 (1.0 to 1.6) <0.001 <0.001
mean_PeakUpDownVel_mean 0.81 (0.50 to 1.1) <0.001 <0.001 -0.48 (-1.1 to 0.10) 0.10 0.10 -0.58 (-0.85 to -0.31) <0.001 <0.001
subj_char.sd__(Intercept) 0.88 (NA to NA)

1.3 (NA to NA)

1.1 (NA to NA)

Residual.sd__Observation 0.28 (NA to NA)

0.52 (NA to NA)

0.24 (NA to NA)

1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513